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Linguistic Regularities in Continuous Space Word Representations
Tomas Mikolov
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Wen-tau Yih
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Geoffrey Zweig
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Paper Details:
Month: June
Year: 2013
Location: Atlanta, Georgia
Venue:
NAACL |
Citations
URL
Co-learning of Word Representations and Morpheme Representations
Siyu Qiu
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Qing Cui
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Jiang Bian
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Bin Gao
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Tie-Yan Liu
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Learning Sense-specific Word Embeddings By Exploiting Bilingual Resources
Jiang Guo
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Wanxiang Che
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Haifeng Wang
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Ting Liu
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Inducing Latent Semantic Relations for Structured Distributional Semantics
Sujay Kumar Jauhar
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Eduard Hovy
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Improving distributional thesauri by exploring the graph of neighbors
Vincent Claveau
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Ewa Kijak
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Olivier Ferret
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Inclusive yet Selective: Supervised Distributional Hypernymy Detection
Stephen Roller
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Katrin Erk
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Gemma Boleda
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A Neural Reordering Model for Phrase-based Translation
Peng Li
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Yang Liu
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Maosong Sun
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Tatsuya Izuha
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Dakun Zhang
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Learning to Distinguish Hypernyms and Co-Hyponyms
Julie Weeds
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Daoud Clarke
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Jeremy Reffin
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David Weir
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Bill Keller
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Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs
Ximing Li
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Jinjin Chi
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Changchun Li
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Jihong Ouyang
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Bo Fu
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Mongolian Named Entity Recognition System with Rich Features
Weihua Wang
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Feilong Bao
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Guanglai Gao
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Word2Vec vs DBnary: Augmenting METEOR using Vector Representations or Lexical Resources?
Christophe Servan
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Alexandre Bérard
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Zied Elloumi
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Hervé Blanchon
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Laurent Besacier
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Predictability of Distributional Semantics in Derivational Word Formation
Sebastian Padó
|
Aurélie Herbelot
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Max Kisselew
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Jan Šnajder
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Chinese Hypernym-Hyponym Extraction from User Generated Categories
Chengyu Wang
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Xiaofeng He
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Fast Gated Neural Domain Adaptation: Language Model as a Case Study
Jian Zhang
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Xiaofeng Wu
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Andy Way
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Qun Liu
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Predicting the Evocation Relation between Lexicalized Concepts
Yoshihiko Hayashi
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Improved Word Embeddings with Implicit Structure Information
Jie Shen
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Cong Liu
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Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text
Aditya Joshi
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Ameya Prabhu
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Manish Shrivastava
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Vasudeva Varma
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Neural-based Noise Filtering from Word Embeddings
Kim Anh Nguyen
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Sabine Schulte im Walde
|
Ngoc Thang Vu
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CNN- and LSTM-based Claim Classification in Online User Comments
Chinnappa Guggilla
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Tristan Miller
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Iryna Gurevych
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Borrow a Little from your Rich Cousin: Using Embeddings and Polarities of English Words for Multilingual Sentiment Classification
Prerana Singhal
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Pushpak Bhattacharyya
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Extending WordNet with Fine-Grained Collocational Information via Supervised Distributional Learning
Luis Espinosa-Anke
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Jose Camacho-Collados
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Sara Rodríguez-Fernández
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Horacio Saggion
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Leo Wanner
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Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen
Aleksandr Drozd
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Anna Gladkova
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Satoshi Matsuoka
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DISCO: A System Leveraging Semantic Search in Document Review
Ngoc Phuoc An Vo
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Fabien Guillot
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Caroline Privault
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Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention
Ruifang He
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Xuefei Zhang
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Di Jin
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Longbiao Wang
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Jianwu Dang
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Xiangang Li
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User-Level Race and Ethnicity Predictors from Twitter Text
Daniel Preoţiuc-Pietro
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Lyle Ungar
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Relation Induction in Word Embeddings Revisited
Zied Bouraoui
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Shoaib Jameel
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Steven Schockaert
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Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations
Ben Lengerich
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Andrew Maas
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Christopher Potts
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Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection
Huda Hakami
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Kohei Hayashi
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Danushka Bollegala
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SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors
Luis Espinosa-Anke
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Steven Schockaert
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What’s in Your Embedding, And How It Predicts Task Performance
Anna Rogers
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Shashwath Hosur Ananthakrishna
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Anna Rumshisky
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Novelty Goes Deep. A Deep Neural Solution To Document Level Novelty Detection
Tirthankar Ghosal
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Vignesh Edithal
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Asif Ekbal
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Pushpak Bhattacharyya
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George Tsatsaronis
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Srinivasa Satya Sameer Kumar Chivukula
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Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks
Masashi Tsubaki
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Kevin Duh
|
Masashi Shimbo
|
Yuji Matsumoto
|
Joint Language and Translation Modeling with Recurrent Neural Networks
Michael Auli
|
Michel Galley
|
Chris Quirk
|
Geoffrey Zweig
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Multi-Relational Latent Semantic Analysis
Kai-Wei Chang
|
Wen-tau Yih
|
Christopher Meek
|
Deriving Adjectival Scales from Continuous Space Word Representations
Joo-Kyung Kim
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Marie-Catherine de Marneffe
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Evaluating Neural Word Representations in Tensor-Based Compositional Settings
Dmitrijs Milajevs
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Dimitri Kartsaklis
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Mehrnoosh Sadrzadeh
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Matthew Purver
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Word Semantic Representations using Bayesian Probabilistic Tensor Factorization
Jingwei Zhang
|
Jeremy Salwen
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Michael Glass
|
Alfio Gliozzo
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Glove: Global Vectors for Word Representation
Jeffrey Pennington
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Richard Socher
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Christopher Manning
|
Typed Tensor Decomposition of Knowledge Bases for Relation Extraction
Kai-Wei Chang
|
Wen-tau Yih
|
Bishan Yang
|
Christopher Meek
|
Event Role Extraction using Domain-Relevant Word Representations
Emanuela Boroş
|
Romaric Besançon
|
Olivier Ferret
|
Brigitte Grau
|
Distributional vectors encode referential attributes
Abhijeet Gupta
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Gemma Boleda
|
Marco Baroni
|
Sebastian Padó
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Factorization of Latent Variables in Distributional Semantic Models
Arvid Österlund
|
David Ödling
|
Magnus Sahlgren
|
A Model of Zero-Shot Learning of Spoken Language Understanding
Majid Yazdani
|
James Henderson
|
Evaluation methods for unsupervised word embeddings
Tobias Schnabel
|
Igor Labutov
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David Mimno
|
Thorsten Joachims
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Open-Domain Name Error Detection using a Multi-Task RNN
Hao Cheng
|
Hao Fang
|
Mari Ostendorf
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Learn to Solve Algebra Word Problems Using Quadratic Programming
Lipu Zhou
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Shuaixiang Dai
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Liwei Chen
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Investigating Continuous Space Language Models for Machine Translation Quality Estimation
Kashif Shah
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Raymond W. M. Ng
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Fethi Bougares
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Lucia Specia
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How to Avoid Unwanted Pregnancies: Domain Adaptation using Neural Network Models
Shafiq Joty
|
Hassan Sajjad
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Nadir Durrani
|
Kamla Al-Mannai
|
Ahmed Abdelali
|
Stephan Vogel
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A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution
Shaohua Li
|
Jun Zhu
|
Chunyan Miao
|
Learning Semantic Composition to Detect Non-compositionality of Multiword Expressions
Majid Yazdani
|
Meghdad Farahmand
|
James Henderson
|
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths
Yan Xu
|
Lili Mou
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Ge Li
|
Yunchuan Chen
|
Hao Peng
|
Zhi Jin
|
Better Summarization Evaluation with Word Embeddings for ROUGE
Jun-Ping Ng
|
Viktoria Abrecht
|
When Are Tree Structures Necessary for Deep Learning of Representations?
Jiwei Li
|
Thang Luong
|
Dan Jurafsky
|
Eduard Hovy
|
Distributed Representations for Unsupervised Semantic Role Labeling
Kristian Woodsend
|
Mirella Lapata
|
Jointly Embedding Knowledge Graphs and Logical Rules
Shu Guo
|
Quan Wang
|
Lihong Wang
|
Bin Wang
|
Li Guo
|
Event Detection and Co-reference with Minimal Supervision
Haoruo Peng
|
Yangqiu Song
|
Dan Roth
|
Supervised Distributional Hypernym Discovery via Domain Adaptation
Luis Espinosa-Anke
|
Jose Camacho-Collados
|
Claudio Delli Bovi
|
Horacio Saggion
|
Multi-Granularity Chinese Word Embedding
Rongchao Yin
|
Quan Wang
|
Peng Li
|
Rui Li
|
Bin Wang
|
Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention
Yang Liu
|
Sujian Li
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Learning Crosslingual Word Embeddings without Bilingual Corpora
Long Duong
|
Hiroshi Kanayama
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Tengfei Ma
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Steven Bird
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Trevor Cohn
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It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering
Preslav Nakov
|
Lluís Màrquez
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Francisco Guzmán
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An Embedding Model for Predicting Roll-Call Votes
Peter Kraft
|
Hirsh Jain
|
Alexander M. Rush
|
Exploiting Morphological Regularities in Distributional Word Representations
Arihant Gupta
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Syed Sarfaraz Akhtar
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Avijit Vajpayee
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Arjit Srivastava
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Madan Gopal Jhanwar
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Manish Shrivastava
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Incremental Skip-gram Model with Negative Sampling
Nobuhiro Kaji
|
Hayato Kobayashi
|
SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations
Dheeraj Mekala
|
Vivek Gupta
|
Bhargavi Paranjape
|
Harish Karnick
|
Speaking, Seeing, Understanding: Correlating semantic models with conceptual representation in the brain
Luana Bulat
|
Stephen Clark
|
Ekaterina Shutova
|
Deeper Attention to Abusive User Content Moderation
John Pavlopoulos
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Prodromos Malakasiotis
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Ion Androutsopoulos
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Exploring Vector Spaces for Semantic Relations
Kata Gábor
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Haïfa Zargayouna
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Isabelle Tellier
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Davide Buscaldi
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Thierry Charnois
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A Factored Neural Network Model for Characterizing Online Discussions in Vector Space
Hao Cheng
|
Hao Fang
|
Mari Ostendorf
|
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings
Bofang Li
|
Tao Liu
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Zhe Zhao
|
Buzhou Tang
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Aleksandr Drozd
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Anna Rogers
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Xiaoyong Du
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The strange geometry of skip-gram with negative sampling
David Mimno
|
Laure Thompson
|
A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings
Wei Yang
|
Wei Lu
|
Vincent Zheng
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Textual Analogy Parsing: What’s Shared and What’s Compared among Analogous Facts
Matthew Lamm
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Arun Chaganty
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Christopher D. Manning
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Dan Jurafsky
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Percy Liang
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Neural Latent Relational Analysis to Capture Lexical Semantic Relations in a Vector Space
Koki Washio
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Tsuneaki Kato
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A Graph-theoretic Summary Evaluation for ROUGE
Elaheh ShafieiBavani
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Mohammad Ebrahimi
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Raymond Wong
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Fang Chen
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Session-level Language Modeling for Conversational Speech
Wayne Xiong
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Lingfeng Wu
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Jun Zhang
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Andreas Stolcke
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Predicting Factuality of Reporting and Bias of News Media Sources
Ramy Baly
|
Georgi Karadzhov
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Dimitar Alexandrov
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James Glass
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Preslav Nakov
|
Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings
Shafiq Joty
|
Lluís Màrquez
|
Preslav Nakov
|
Learning Gender-Neutral Word Embeddings
Jieyu Zhao
|
Yichao Zhou
|
Zeyu Li
|
Wei Wang
|
Kai-Wei Chang
|
Minimum Translation Modeling with Recurrent Neural Networks
Yuening Hu
|
Michael Auli
|
Qin Gao
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Jianfeng Gao
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Improving Vector Space Word Representations Using Multilingual Correlation
Manaal Faruqui
|
Chris Dyer
|
Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network
Kim Anh Nguyen
|
Sabine Schulte im Walde
|
Ngoc Thang Vu
|
Comparing Character-level Neural Language Models Using a Lexical Decision Task
Gaël Le Godais
|
Tal Linzen
|
Emmanuel Dupoux
|
Applying Multi-Sense Embeddings for German Verbs to Determine Semantic Relatedness and to Detect Non-Literal Language
Maximilian Köper
|
Sabine Schulte im Walde
|
Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering
João Sedoc
|
Daniel Preoţiuc-Pietro
|
Lyle Ungar
|
Neural Networks for Joint Sentence Classification in Medical Paper Abstracts
Franck Dernoncourt
|
Ji Young Lee
|
Peter Szolovits
|
Automatically Extracting Variant-Normalization Pairs for Japanese Text Normalization
Itsumi Saito
|
Kyosuke Nishida
|
Kugatsu Sadamitsu
|
Kuniko Saito
|
Junji Tomita
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Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework
Aaron Steven White
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Pushpendre Rastogi
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Kevin Duh
|
Benjamin Van Durme
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Towards Lower Bounds on Number of Dimensions for Word Embeddings
Kevin Patel
|
Pushpak Bhattacharyya
|
YNU-HPCC at IJCNLP-2017 Task 4: Attention-based Bi-directional GRU Model for Customer Feedback Analysis Task of English
Nan Wang
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Jin Wang
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Xuejie Zhang
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Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction
Roy Schwartz
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Roi Reichart
|
Ari Rappoport
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Neighborhood Mixture Model for Knowledge Base Completion
Dat Quoc Nguyen
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Kairit Sirts
|
Lizhen Qu
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Mark Johnson
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Redefining part-of-speech classes with distributional semantic models
Andrey Kutuzov
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Erik Velldal
|
Lilja Øvrelid
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Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings
Todor Mihaylov
|
Anette Frank
|
Adapting Event Embedding for Implicit Discourse Relation Recognition
Maria Leonor Pacheco
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I-Ta Lee
|
Xiao Zhang
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Abdullah Khan Zehady
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Pranjal Daga
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Di Jin
|
Ayush Parolia
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Dan Goldwasser
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Learning Word Representations with Regularization from Prior Knowledge
Yan Song
|
Chia-Jung Lee
|
Fei Xia
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A Joint Model for Semantic Sequences: Frames, Entities, Sentiments
Haoruo Peng
|
Snigdha Chaturvedi
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Dan Roth
|
Multilingual Semantic Parsing And Code-Switching
Long Duong
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Hadi Afshar
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Dominique Estival
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Glen Pink
|
Philip Cohen
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Mark Johnson
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Bringing Order to Neural Word Embeddings with Embeddings Augmented by Random Permutations (EARP)
Trevor Cohen
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Dominic Widdows
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Use of unsupervised word classes for entity recognition: Application to the detection of disorders in clinical reports
Maria Evangelia Chatzimina
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Cyril Grouin
|
Pierre Zweigenbaum
|
A Language Independent Method for Generating Large Scale Polarity Lexicons
Giuseppe Castellucci
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Danilo Croce
|
Roberto Basili
|
Punctuation Prediction for Unsegmented Transcript Based on Word Vector
Xiaoyin Che
|
Cheng Wang
|
Haojin Yang
|
Christoph Meinel
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A New Integrated Open-source Morphological Analyzer for Hungarian
Attila Novák
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Borbála Siklósi
|
Csaba Oravecz
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Example-based Acquisition of Fine-grained Collocation Resources
Sara Rodríguez-Fernández
|
Roberto Carlini
|
Luis Espinosa Anke
|
Leo Wanner
|
Filtering Wiktionary Triangles by Linear Mbetween Distributed Word Models
Márton Makrai
|
Classifying Out-of-vocabulary Terms in a Domain-Specific Social Media Corpus
SoHyun Park
|
Afsaneh Fazly
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Annie Lee
|
Brandon Seibel
|
Wenjie Zi
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Paul Cook
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Spanish Word Vectors from Wikipedia
Mathias Etcheverry
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Dina Wonsever
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SCALE: A Scalable Language Engineering Toolkit
Joris Pelemans
|
Lyan Verwimp
|
Kris Demuynck
|
Hugo Van hamme
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Patrick Wambacq
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The hunvec framework for NN-CRF-based sequential tagging
Katalin Pajkossy
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Attila Zséder
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Studying the Temporal Dynamics of Word Co-occurrences: An Application to Event Detection
Daniel Preoţiuc-Pietro
|
P. K. Srijith
|
Mark Hepple
|
Trevor Cohn
|
What a Nerd! Beating Students and Vector Cosine in the ESL and TOEFL Datasets
Enrico Santus
|
Alessandro Lenci
|
Tin-Shing Chiu
|
Qin Lu
|
Chu-Ren Huang
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Assessing the Potential of Metaphoricity of verbs using corpus data
Marco Del Tredici
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Núria Bel
|
Cross-Lingual Generation and Evaluation of a Wide-Coverage Lexical Semantic Resource
Attila Novák
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Borbála Novák
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Knowing the Author by the Company His Words Keep
Armin Hoenen
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Niko Schenk
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Multilingual Multi-class Sentiment Classification Using Convolutional Neural Networks
Mohammed Attia
|
Younes Samih
|
Ali Elkahky
|
Laura Kallmeyer
|
Urdu Word Embeddings
Samar Haider
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All-words Word Sense Disambiguation Using Concept Embeddings
Rui Suzuki
|
Kanako Komiya
|
Masayuki Asahara
|
Minoru Sasaki
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Hiroyuki Shinnou
|
Evaluation of Domain-specific Word Embeddings using Knowledge Resources
Farhad Nooralahzadeh
|
Lilja Øvrelid
|
Jan Tore Lønning
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A Multi-Domain Framework for Textual Similarity. A Case Study on Question-to-Question and Question-Answering Similarity Tasks
Amir Hazem
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Basma El Amal Boussaha
|
Nicolas Hernandez
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Combining Heterogeneous Models for Measuring Relational Similarity
Alisa Zhila
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Wen-tau Yih
|
Christopher Meek
|
Geoffrey Zweig
|
Tomas Mikolov
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Combining Language and Vision with a Multimodal Skip-gram Model
Angeliki Lazaridou
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Nghia The Pham
|
Marco Baroni
|
Semi-Supervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains
Kaveh Taghipour
|
Hwee Tou Ng
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Multiview LSA: Representation Learning via Generalized CCA
Pushpendre Rastogi
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Benjamin Van Durme
|
Raman Arora
|
Ontologically Grounded Multi-sense Representation Learning for Semantic Vector Space Models
Sujay Kumar Jauhar
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Chris Dyer
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Eduard Hovy
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Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval
Xiaodong Liu
|
Jianfeng Gao
|
Xiaodong He
|
Li Deng
|
Kevin Duh
|
Ye-yi Wang
|
Word Embedding-based Antonym Detection using Thesauri and Distributional Information
Masataka Ono
|
Makoto Miwa
|
Yutaka Sasaki
|
Unsupervised Sparse Vector Densification for Short Text Similarity
Yangqiu Song
|
Dan Roth
|
Embedding a Semantic Network in a Word Space
Richard Johansson
|
Luis Nieto Piña
|
Random Walks and Neural Network Language Models on Knowledge Bases
Josu Goikoetxea
|
Aitor Soroa
|
Eneko Agirre
|
Learning Translation Models from Monolingual Continuous Representations
Kai Zhao
|
Hany Hassan
|
Michael Auli
|
Retrofitting Word Vectors to Semantic Lexicons
Manaal Faruqui
|
Jesse Dodge
|
Sujay Kumar Jauhar
|
Chris Dyer
|
Eduard Hovy
|
Noah A. Smith
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Black Holes and White Rabbits: Metaphor Identification with Visual Features
Ekaterina Shutova
|
Douwe Kiela
|
Jean Maillard
|
Inferring Psycholinguistic Properties of Words
Gustavo Paetzold
|
Lucia Specia
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STransE: a novel embedding model of entities and relationships in knowledge bases
Dat Quoc Nguyen
|
Kairit Sirts
|
Lizhen Qu
|
Mark Johnson
|
Symmetric Patterns and Coordinations: Fast and Enhanced Representations of Verbs and Adjectives
Roy Schwartz
|
Roi Reichart
|
Ari Rappoport
|
Learning a POS tagger for AAVE-like language
Anna Jørgensen
|
Dirk Hovy
|
Anders Søgaard
|
Right-truncatable Neural Word Embeddings
Jun Suzuki
|
Masaaki Nagata
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K-Embeddings: Learning Conceptual Embeddings for Words using Context-Embeddings: Learning Conceptual Embeddings for Words using Context
Thuy Vu
|
D. Stott Parker
|
An End-to-end Approach to Learning Semantic Frames with Feedforward Neural Network
Yukun Feng
|
Yipei Xu
|
Dong Yu
|
Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn’t.
Anna Gladkova
|
Aleksandr Drozd
|
Satoshi Matsuoka
|
attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines
Fabio Petroni
|
Vassilis Plachouras
|
Timothy Nugent
|
Jochen L. Leidner
|
Colorless Green Recurrent Networks Dream Hierarchically
Kristina Gulordava
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Piotr Bojanowski
|
Edouard Grave
|
Tal Linzen
|
Marco Baroni
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Analogies in Complex Verb Meaning Shifts: the Effect of Affect in Semantic Similarity Models
Maximilian Köper
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Sabine Schulte im Walde
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Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings
Yan Song
|
Shuming Shi
|
Jing Li
|
Haisong Zhang
|
Frustratingly Easy Meta-Embedding – Computing Meta-Embeddings by Averaging Source Word Embeddings
Joshua Coates
|
Danushka Bollegala
|
The Word Analogy Testing Caveat
Natalie Schluter
|
Syntactically Aware Neural Architectures for Definition Extraction
Luis Espinosa-Anke
|
Steven Schockaert
|
Text Segmentation as a Supervised Learning Task
Omri Koshorek
|
Adir Cohen
|
Noam Mor
|
Michael Rotman
|
Jonathan Berant
|
Parsing with Compositional Vector Grammars
Richard Socher
|
John Bauer
|
Christopher D. Manning
|
Andrew Y. Ng
|
Logical Inference on Dependency-based Compositional Semantics
Ran Tian
|
Yusuke Miyao
|
Takuya Matsuzaki
|
Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors
Marco Baroni
|
Georgiana Dinu
|
Germán Kruszewski
|
Max-Margin Tensor Neural Network for Chinese Word Segmentation
Wenzhe Pei
|
Tao Ge
|
Baobao Chang
|
Learning Continuous Phrase Representations for Translation Modeling
Jianfeng Gao
|
Xiaodong He
|
Wen-tau Yih
|
Li Deng
|
Learning Grounded Meaning Representations with Autoencoders
Carina Silberer
|
Mirella Lapata
|
Learning Semantic Hierarchies via Word Embeddings
Ruiji Fu
|
Jiang Guo
|
Bing Qin
|
Wanxiang Che
|
Haifeng Wang
|
Ting Liu
|
Fast and Robust Neural Network Joint Models for Statistical Machine Translation
Jacob Devlin
|
Rabih Zbib
|
Zhongqiang Huang
|
Thomas Lamar
|
Richard Schwartz
|
John Makhoul
|
Is this a wampimuk? Cross-modal mapping between distributional semantics and the visual world
Angeliki Lazaridou
|
Elia Bruni
|
Marco Baroni
|
POS induction with distributional and morphological information using a distance-dependent Chinese restaurant process
Kairit Sirts
|
Jacob Eisenstein
|
Micha Elsner
|
Sharon Goldwater
|
Dependency-Based Word Embeddings
Omer Levy
|
Yoav Goldberg
|
How much do word embeddings encode about syntax?
Jacob Andreas
|
Dan Klein
|
SensEmbed: Learning Sense Embeddings for Word and Relational Similarity
Ignacio Iacobacci
|
Mohammad Taher Pilehvar
|
Roberto Navigli
|
Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning
Angeliki Lazaridou
|
Georgiana Dinu
|
Marco Baroni
|
Learning Bilingual Sentiment Word Embeddings for Cross-language Sentiment Classification
HuiWei Zhou
|
Long Chen
|
Fulin Shi
|
Degen Huang
|
Gaussian LDA for Topic Models with Word Embeddings
Rajarshi Das
|
Manzil Zaheer
|
Chris Dyer
|
Pairwise Neural Machine Translation Evaluation
Francisco Guzmán
|
Shafiq Joty
|
Lluís Màrquez
|
Preslav Nakov
|
Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE model
Nghia The Pham
|
Germán Kruszewski
|
Angeliki Lazaridou
|
Marco Baroni
|
Orthogonality of Syntax and Semantics within Distributional Spaces
Jeff Mitchell
|
Mark Steedman
|
A Multitask Objective to Inject Lexical Contrast into Distributional Semantics
Nghia The Pham
|
Angeliki Lazaridou
|
Marco Baroni
|
A Unified Learning Framework of Skip-Grams and Global Vectors
Jun Suzuki
|
Masaaki Nagata
|
Open IE as an Intermediate Structure for Semantic Tasks
Gabriel Stanovsky
|
Ido Dagan
|
Mausam
|
Early and Late Combinations of Criteria for Reranking Distributional Thesauri
Olivier Ferret
|
Lexical Comparison Between Wikipedia and Twitter Corpora by Using Word Embeddings
Luchen Tan
|
Haotian Zhang
|
Charles Clarke
|
Mark Smucker
|
Language Transfer Learning for Supervised Lexical Substitution
Gerold Hintz
|
Chris Biemann
|
Idiom Token Classification using Sentential Distributed Semantics
Giancarlo Salton
|
Robert Ross
|
John Kelleher
|
Two Discourse Driven Language Models for Semantics
Haoruo Peng
|
Dan Roth
|
Cross-Lingual Lexico-Semantic Transfer in Language Learning
Ekaterina Kochmar
|
Ekaterina Shutova
|
Morphological Smoothing and Extrapolation of Word Embeddings
Ryan Cotterell
|
Hinrich Schütze
|
Jason Eisner
|
Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning
Ekaterina Vylomova
|
Laura Rimell
|
Trevor Cohn
|
Timothy Baldwin
|
Predicting the Compositionality of Nominal Compounds: Giving Word Embeddings a Hard Time
Silvio Cordeiro
|
Carlos Ramisch
|
Marco Idiart
|
Aline Villavicencio
|
Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization
Lucie Flekova
|
Iryna Gurevych
|
On Approximately Searching for Similar Word Embeddings
Kohei Sugawara
|
Hayato Kobayashi
|
Masajiro Iwasaki
|
Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data
Teng Long
|
Ryan Lowe
|
Jackie Chi Kit Cheung
|
Doina Precup
|
Natural Language Inference by Tree-Based Convolution and Heuristic Matching
Lili Mou
|
Rui Men
|
Ge Li
|
Yan Xu
|
Lu Zhang
|
Rui Yan
|
Zhi Jin
|
Word Embeddings with Limited Memory
Shaoshi Ling
|
Yangqiu Song
|
Dan Roth
|
Matrix Factorization using Window Sampling and Negative Sampling for Improved Word Representations
Alexandre Salle
|
Aline Villavicencio
|
Marco Idiart
|
Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction
Kim Anh Nguyen
|
Sabine Schulte im Walde
|
Ngoc Thang Vu
|
Machine Translation Evaluation Meets Community Question Answering
Francisco Guzmán
|
Lluís Màrquez
|
Preslav Nakov
|
Semantics-Driven Recognition of Collocations Using Word Embeddings
Sara Rodríguez-Fernández
|
Luis Espinosa-Anke
|
Roberto Carlini
|
Leo Wanner
|
Incorporating Relational Knowledge into Word Representations using Subspace Regularization
Abhishek Kumar
|
Jun Araki
|
Skip-Gram − Zipf + Uniform = Vector Additivity
Alex Gittens
|
Dimitris Achlioptas
|
Michael W. Mahoney
|
Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network
Abhijit Mishra
|
Kuntal Dey
|
Pushpak Bhattacharyya
|
An Unsupervised Neural Attention Model for Aspect Extraction
Ruidan He
|
Wee Sun Lee
|
Hwee Tou Ng
|
Daniel Dahlmeier
|
MORSE: Semantic-ally Drive-n MORpheme SEgment-er
Tarek Sakakini
|
Suma Bhat
|
Pramod Viswanath
|
EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks
Muhammad Abdul-Mageed
|
Lyle Ungar
|
Beyond Binary Labels: Political Ideology Prediction of Twitter Users
Daniel Preoţiuc-Pietro
|
Ye Liu
|
Daniel Hopkins
|
Lyle Ungar
|
Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering
Jianbo Ye
|
Yanran Li
|
Zhaohui Wu
|
James Z. Wang
|
Wenjie Li
|
Jia Li
|
Detection of Chinese Word Usage Errors for Non-Native Chinese Learners with Bidirectional LSTM
Yow-Ting Shiue
|
Hen-Hsen Huang
|
Hsin-Hsi Chen
|
Temporal Word Analogies: Identifying Lexical Replacement with Diachronic Word Embeddings
Terrence Szymanski
|
Incorporating Latent Meanings of Morphological Compositions to Enhance Word Embeddings
Yang Xu
|
Jiawei Liu
|
Wei Yang
|
Liusheng Huang
|
What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
|
German Kruszewski
|
Guillaume Lample
|
Loïc Barrault
|
Marco Baroni
|
Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder
Ryo Takahashi
|
Ran Tian
|
Kentaro Inui
|
Analogical Reasoning on Chinese Morphological and Semantic Relations
Shen Li
|
Zhe Zhao
|
Renfen Hu
|
Wensi Li
|
Tao Liu
|
Xiaoyong Du
|
Exploring Semantic Properties of Sentence Embeddings
Xunjie Zhu
|
Tingfeng Li
|
Gerard de Melo
|
‘Lighter’ Can Still Be Dark: Modeling Comparative Color Descriptions
Olivia Winn
|
Smaranda Muresan
|
SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags
Eva Vanmassenhove
|
Andy Way
|
Grounded Compositional Semantics for Finding and Describing Images with Sentences
Richard Socher
|
Andrej Karpathy
|
Quoc V. Le
|
Christopher D. Manning
|
Andrew Y. Ng
|
Improving Distributional Similarity with Lessons Learned from Word Embeddings
Omer Levy
|
Yoav Goldberg
|
Ido Dagan
|
One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations
Yangfeng Ji
|
Jacob Eisenstein
|
Context-aware Frame-Semantic Role Labeling
Michael Roth
|
Mirella Lapata
|
A Latent Variable Model Approach to PMI-based Word Embeddings
Sanjeev Arora
|
Yuanzhi Li
|
Yingyu Liang
|
Tengyu Ma
|
Andrej Risteski
|
Encoding Prior Knowledge with Eigenword Embeddings
Dominique Osborne
|
Shashi Narayan
|
Shay B. Cohen
|
Evaluating the Stability of Embedding-based Word Similarities
Maria Antoniak
|
David Mimno
|
Unsupervised Word Mapping Using Structural Similarities in Monolingual Embeddings
Hanan Aldarmaki
|
Mahesh Mohan
|
Mona Diab
|
Detecting Institutional Dialog Acts in Police Traffic Stops
Vinodkumar Prabhakaran
|
Camilla Griffiths
|
Hang Su
|
Prateek Verma
|
Nelson Morgan
|
Jennifer L. Eberhardt
|
Dan Jurafsky
|
Linear Algebraic Structure of Word Senses, with Applications to Polysemy
Sanjeev Arora
|
Yuanzhi Li
|
Yingyu Liang
|
Tengyu Ma
|
Andrej Risteski
|
Enriching Word Sense Embeddings with Translational Context
Mehdi Ghanimifard
|
Richard Johansson
|
Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics
Martin Boyanov
|
Preslav Nakov
|
Alessandro Moschitti
|
Giovanni Da San Martino
|
Ivan Koychev
|
MappSent: a Textual Mapping Approach for Question-to-Question Similarity
Amir Hazem
|
Basma El Amel Boussaha
|
Nicolas Hernandez
|
Do Not Trust the Trolls: Predicting Credibility in Community Question Answering Forums
Preslav Nakov
|
Tsvetomila Mihaylova
|
Lluís Màrquez
|
Yashkumar Shiroya
|
Ivan Koychev
|
DLIREC: Aspect Term Extraction and Term Polarity Classification System
Zhiqiang Toh
|
Wenting Wang
|
SimCompass: Using Deep Learning Word Embeddings to Assess Cross-level Similarity
Carmen Banea
|
Di Chen
|
Rada Mihalcea
|
Claire Cardie
|
Janyce Wiebe
|
UTU: Disease Mention Recognition and Normalization with CRFs and Vector Space Representations
Suwisa Kaewphan
|
Kai Hakala
|
Filip Ginter
|
Reading Between the Lines: Overcoming Data Sparsity for Accurate Classification of Lexical Relationships
Silvia Necşulescu
|
Sara Mendes
|
David Jurgens
|
Núria Bel
|
Roberto Navigli
|
CDTDS: Predicting Paraphrases in Twitter via Support Vector Regression
Rafael Michael Karampatsis
|
QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English
Massimo Nicosia
|
Simone Filice
|
Alberto Barrón-Cedeño
|
Iman Saleh
|
Hamdy Mubarak
|
Wei Gao
|
Preslav Nakov
|
Giovanni Da San Martino
|
Alessandro Moschitti
|
Kareem Darwish
|
Lluís Màrquez
|
Shafiq Joty
|
Walid Magdy
|
VectorSLU: A Continuous Word Vector Approach to Answer Selection in Community Question Answering Systems
Yonatan Belinkov
|
Mitra Mohtarami
|
Scott Cyphers
|
James Glass
|
NLANGP: Supervised Machine Learning System for Aspect Category Classification and Opinion Target Extraction
Zhiqiang Toh
|
Jian Su
|
USAAR-WLV: Hypernym Generation with Deep Neural Nets
Liling Tan
|
Rohit Gupta
|
Josef van Genabith
|
SemEval-2016 Task 4: Sentiment Analysis in Twitter
Preslav Nakov
|
Alan Ritter
|
Sara Rosenthal
|
Fabrizio Sebastiani
|
Veselin Stoyanov
|
NLANGP at SemEval-2016 Task 5: Improving Aspect Based Sentiment Analysis using Neural Network Features
Zhiqiang Toh
|
Jian Su
|
ASOBEK at SemEval-2016 Task 1: Sentence Representation with Character N-gram Embeddings for Semantic Textual Similarity
Asli Eyecioglu
|
Bill Keller
|
SLS at SemEval-2016 Task 3: Neural-based Approaches for Ranking in Community Question Answering
Mitra Mohtarami
|
Yonatan Belinkov
|
Wei-Ning Hsu
|
Yu Zhang
|
Tao Lei
|
Kfir Bar
|
Scott Cyphers
|
Jim Glass
|
SUper Team at SemEval-2016 Task 3: Building a Feature-Rich System for Community Question Answering
Tsvetomila Mihaylova
|
Pepa Gencheva
|
Martin Boyanov
|
Ivana Yovcheva
|
Todor Mihaylov
|
Momchil Hardalov
|
Yasen Kiprov
|
Daniel Balchev
|
Ivan Koychev
|
Preslav Nakov
|
Ivelina Nikolova
|
Galia Angelova
|
MTE-NN at SemEval-2016 Task 3: Can Machine Translation Evaluation Help Community Question Answering?
Francisco Guzmán
|
Preslav Nakov
|
Lluís Màrquez
|
ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora
Alberto Barrón-Cedeño
|
Giovanni Da San Martino
|
Shafiq Joty
|
Alessandro Moschitti
|
Fahad Al Obaidli
|
Salvatore Romeo
|
Kateryna Tymoshenko
|
Antonio Uva
|
SemEval-2016 Task 13: Taxonomy Extraction Evaluation (TExEval-2)
Georgeta Bordea
|
Els Lefever
|
Paul Buitelaar
|
Quantificational features in distributional word representations
Tal Linzen
|
Emmanuel Dupoux
|
Benjamin Spector
|
What Analogies Reveal about Word Vectors and their Compositionality
Gregory Finley
|
Stephanie Farmer
|
Serguei Pakhomov
|
The (too Many) Problems of Analogical Reasoning with Word Vectors
Anna Rogers
|
Aleksandr Drozd
|
Bofang Li
|
Ways of Asking and Replying in Duplicate Question Detection
João António Rodrigues
|
Chakaveh Saedi
|
Vladislav Maraev
|
João Silva
|
António Branco
|
LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors Weighting
El Moatez Billah Nagoudi
|
Jérémy Ferrero
|
Didier Schwab
|
SEF@UHH at SemEval-2017 Task 1: Unsupervised Knowledge-Free Semantic Textual Similarity via Paragraph Vector
Mirela-Stefania Duma
|
Wolfgang Menzel
|
FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings
Pedro Saleiro
|
Eduarda Mendes Rodrigues
|
Carlos Soares
|
Eugénio Oliveira
|
MayoNLP at SemEval 2017 Task 10: Word Embedding Distance Pattern for Keyphrase Classification in Scientific Publications
Sijia Liu
|
Feichen Shen
|
Vipin Chaudhary
|
Hongfang Liu
|
ARB-SEN at SemEval-2018 Task1: A New Set of Features for Enhancing the Sentiment Intensity Prediction in Arabic Tweets
El Moatez Billah Nagoudi
|
Meaning_space at SemEval-2018 Task 10: Combining explicitly encoded knowledge with information extracted from word embeddings
Pia Sommerauer
|
Antske Fokkens
|
Piek Vossen
|
GHH at SemEval-2018 Task 10: Discovering Discriminative Attributes in Distributional Semantics
Mohammed Attia
|
Younes Samih
|
Manaal Faruqui
|
Wolfgang Maier
|
UMD at SemEval-2018 Task 10: Can Word Embeddings Capture Discriminative Attributes?
Alexander Zhang
|
Marine Carpuat
|
UniMelb at SemEval-2018 Task 12: Generative Implication using LSTMs, Siamese Networks and Semantic Representations with Synonym Fuzzing
Anirudh Joshi
|
Tim Baldwin
|
Richard O. Sinnott
|
Cecile Paris
|
Learning Patient Representations from Text
Dmitriy Dligach
|
Timothy Miller
|
Robust Handling of Polysemy via Sparse Representations
Abhijit Mahabal
|
Dan Roth
|
Sid Mittal
|
Finding Names in Trove: Named Entity Recognition for Australian Historical Newspapers
Sunghwan Mac Kim
|
Steve Cassidy
|
Unsupervised Mining of Analogical Frames by Constraint Satisfaction
Lance De Vine
|
Shlomo Geva
|
Peter Bruza
|
Controlled Ascent: Imbuing Statistical MT with Linguistic Knowledge
William Lewis
|
Chris Quirk
|
Better Word Representations with Recursive Neural Networks for Morphology
Thang Luong
|
Richard Socher
|
Christopher Manning
|
Care Episode Retrieval
Hans Moen
|
Erwin Marsi
|
Filip Ginter
|
Laura-Maria Murtola
|
Tapio Salakoski
|
Sanna Salanterä
|
Aspect Term Extraction for Sentiment Analysis: New Datasets, New Evaluation Measures and an Improved Unsupervised Method
John Pavlopoulos
|
Ion Androutsopoulos
|
Post-hoc Manipulations of Vector Space Models with Application to Semantic Role Labeling
Jenna Kanerva
|
Filip Ginter
|
Looking for Hyponyms in Vector Space
Marek Rei
|
Ted Briscoe
|
Linguistic Regularities in Sparse and Explicit Word Representations
Omer Levy
|
Yoav Goldberg
|
Efficient Logical Inference for Semantic Processing
Ran Tian
|
Yusuke Miyao
|
Takuya Matsuzaki
|
Temporal Analysis of Language through Neural Language Models
Yoon Kim
|
Yi-I Chiu
|
Kentaro Hanaki
|
Darshan Hegde
|
Slav Petrov
|
DCU Terminology Translation System for Medical Query Subtask at WMT14
Tsuyoshi Okita
|
Ali Vahid
|
Andy Way
|
Qun Liu
|
A Two-Stage Approach for Computing Associative Responses to a Set of Stimulus Words
Urmi Ghosh
|
Sambhav Jain
|
Soma Paul
|
Exploring the use of word embeddings and random walks on Wikipedia for the CogAlex shared task
Josu Goikoetxea
|
Eneko Agirre
|
Aitor Soroa
|
Automatic Compound Processing: Compound Splitting and Semantic Analysis for Afrikaans and Dutch
Ben Verhoeven
|
Menno van Zaanen
|
Walter Daelemans
|
Gerhard van Huyssteen
|
Multilingual Reliability and “Semantic” Structure of Continuous Word Spaces
Maximilian Köper
|
Christian Scheible
|
Sabine Schulte im Walde
|
Obtaining a Better Understanding of Distributional Models of German Derivational Morphology
Max Kisselew
|
Sebastian Padó
|
Alexis Palmer
|
Jan Šnajder
|
Mental Illness Detection at the World Well-Being Project for the CLPsych 2015 Shared Task
Daniel Preoţiuc-Pietro
|
Maarten Sap
|
H. Andrew Schwartz
|
Lyle Ungar
|
Neural context embeddings for automatic discovery of word senses
Mikael Kågebäck
|
Fredrik Johansson
|
Richard Johansson
|
Devdatt Dubhashi
|
Distributional Representations of Words for Short Text Classification
Chenglong Ma
|
Weiqun Xu
|
Peijia Li
|
Yonghong Yan
|
A Word-Embedding-based Sense Index for Regular Polysemy Representation
Marco Del Tredici
|
Núria Bel
|
Combining Distributed Vector Representations for Words
Justin Garten
|
Kenji Sagae
|
Volkan Ustun
|
Morteza Dehghani
|
A Vector Space Approach for Aspect Based Sentiment Analysis
Abdulaziz Alghunaim
|
Mitra Mohtarami
|
Scott Cyphers
|
Jim Glass
|
Word Embeddings vs Word Types for Sequence Labeling: the Curious Case of CV Parsing
Melanie Tosik
|
Carsten Lygteskov Hansen
|
Gerard Goossen
|
Mihai Rotaru
|
Morpho-syntactic Regularities in Continuous Word Representations: A multilingual study.
Garrett Nicolai
|
Colin Cherry
|
Grzegorz Kondrak
|
Combining Relational and Distributional Knowledge for Word Sense Disambiguation
Richard Johansson
|
Luis Nieto Piña
|
Adapting word2vec to Named Entity Recognition
Scharolta Katharina Sienčnik
|
Lexical Semantics and Model Theory: Together at Last?
András Kornai
|
Marcus Kracht
|
Predicting Pronouns across Languages with Continuous Word Spaces
Ngoc-Quan Pham
|
Lonneke van der Plas
|
Do Distributed Semantic Models Dream of Electric Sheep? Visualizing Word Representations through Image Synthesis
Angeliki Lazaridou
|
Dat Tien Nguyen
|
Marco Baroni
|
SHEF-NN: Translation Quality Estimation with Neural Networks
Kashif Shah
|
Varvara Logacheva
|
Gustavo Paetzold
|
Frederic Blain
|
Daniel Beck
|
Fethi Bougares
|
Lucia Specia
|
Learning Salient Samples and Distributed Representations for Topic-Based Chinese Message Polarity Classification
Xin Kang
|
Yunong Wu
|
Zhifei Zhang
|
Answer Selection in Arabic Community Question Answering: A Feature-Rich Approach
Yonatan Belinkov
|
Alberto Barrón-Cedeño
|
Hamdy Mubarak
|
Word Embeddings Pointing the Way for Late Antiquity
Johannes Bjerva
|
Raf Praet
|
Concept Extensions as the Basis for Vector-Space Semantics: Combining Distributional and Ontological Information about Entities
Jackie Chi Kit Cheung
|
Improving Twitter Named Entity Recognition using Word Representations
Zhiqiang Toh
|
Bin Chen
|
Jian Su
|
Document-Level Machine Translation with Word Vector Models
Eva Martínez Garcia
|
Cristina España-Bonet
|
Lluís Màrquez
|
Splitting Compounds by Semantic Analogy
Joachim Daiber
|
Lautaro Quiroz
|
Roger Wechsler
|
Stella Frank
|
Words are not Equal: Graded Weighting Model for Building Composite Document Vectors
Pranjal Singh
|
Amitabha Mukerjee
|
Detection of Multiword Expressions for Hindi Language using Word Embeddings and WordNet-based Features
Dhirendra Singh
|
Sudha Bhingardive
|
Kevin Patel
|
Pushpak Bhattacharyya
|
Text Analysis and Automatic Triage of Posts in a Mental Health Forum
Ehsaneddin Asgari
|
Soroush Nasiriany
|
Mohammad R.K. Mofrad
|
Sentiment Lexicon Creation using Continuous Latent Space and Neural Networks
Pedro Dias Cardoso
|
Anindya Roy
|
Enhancing Automatic Wordnet Construction Using Word Embeddings
Feras Al Tarouti
|
Jugal Kalita
|
Comparing Fifty Natural Languages and Twelve Genetic Languages Using Word Embedding Language Divergence (WELD) as a Quantitative Measure of Language Distance
Ehsaneddin Asgari
|
Mohammad R.K. Mofrad
|
Better Together: Combining Language and Social Interactions into a Shared Representation
Yi-Yu Lai
|
Chang Li
|
Dan Goldwasser
|
Jennifer Neville
|
Adjusting Word Embeddings with Semantic Intensity Orders
Joo-Kyung Kim
|
Marie-Catherine de Marneffe
|
Eric Fosler-Lussier
|
Decomposing Bilexical Dependencies into Semantic and Syntactic Vectors
Jeff Mitchell
|
Using Embedding Masks for Word Categorization
Stefan Ruseti
|
Traian Rebedea
|
Stefan Trausan-Matu
|
Learning Word Importance with the Neural Bag-of-Words Model
Imran Sheikh
|
Irina Illina
|
Dominique Fohr
|
Georges Linarès
|
An Assessment of Experimental Protocols for Tracing Changes in Word Semantics Relative to Accuracy and Reliability
Johannes Hellrich
|
Udo Hahn
|
Linguistic Input Features Improve Neural Machine Translation
Rico Sennrich
|
Barry Haddow
|
Findings of the 2016 Conference on Machine Translation
Ondřej Bojar
|
Rajen Chatterjee
|
Christian Federmann
|
Yvette Graham
|
Barry Haddow
|
Matthias Huck
|
Antonio Jimeno Yepes
|
Philipp Koehn
|
Varvara Logacheva
|
Christof Monz
|
Matteo Negri
|
Aurélie Névéol
|
Mariana Neves
|
Martin Popel
|
Matt Post
|
Raphael Rubino
|
Carolina Scarton
|
Lucia Specia
|
Marco Turchi
|
Karin Verspoor
|
Marcos Zampieri
|
Word embeddings and discourse information for Quality Estimation
Carolina Scarton
|
Daniel Beck
|
Kashif Shah
|
Karin Sim Smith
|
Lucia Specia
|
Issues in evaluating semantic spaces using word analogies
Tal Linzen
|
Problems With Evaluation of Word Embeddings Using Word Similarity Tasks
Manaal Faruqui
|
Yulia Tsvetkov
|
Pushpendre Rastogi
|
Chris Dyer
|
Capturing Discriminative Attributes in a Distributional Space: Task Proposal
Alicia Krebs
|
Denis Paperno
|
Thematic fit evaluation: an aspect of selectional preferences
Asad Sayeed
|
Clayton Greenberg
|
Vera Demberg
|
Name Variation in Community Question Answering Systems
Anietie Andy
|
Satoshi Sekine
|
Mugizi Rwebangira
|
Mark Dredze
|
Real Multi-Sense or Pseudo Multi-Sense: An Approach to Improve Word Representation
Haoyue Shi
|
Caihua Li
|
Junfeng Hu
|
Recognition of non-domain phrases in automatically extracted lists of terms
Agnieszka Mykowiecka
|
Malgorzata Marciniak
|
Piotr Rychlik
|
Discrimination between Similar Languages, Varieties and Dialects using CNN- and LSTM-based Deep Neural Networks
Chinnappa Guggilla
|
Fully unsupervised low-dimensional representation of adverse drug reaction events through distributional semantics
Alicia Pérez
|
Arantza Casillas
|
Koldo Gojenola
|
Word Sense Disambiguation using a Bidirectional LSTM
Mikael Kågebäck
|
Hans Salomonsson
|
CogALex-V Shared Task: GHHH - Detecting Semantic Relations via Word Embeddings
Mohammed Attia
|
Suraj Maharjan
|
Younes Samih
|
Laura Kallmeyer
|
Thamar Solorio
|
CogALex-V Shared Task: CGSRC - Classifying Semantic Relations using Convolutional Neural Networks
Chinnappa Guggilla
|
Research on attention memory networks as a model for learning natural language inference
Zhuang Liu
|
Degen Huang
|
Jing Zhang
|
Kaiyu Huang
|
Detecting Social Roles in Twitter
Sunghwan Mac Kim
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Stephen Wan
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Cécile Paris
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Sentence Based Discourse Classification for Hindi Story Text-to-Speech (TTS) System
Kumud Tripathi
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Parakrant Sarkar
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K. Sreenivasa Rao
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On Why Coarse Class Classification is Bottleneck in Noun Compound Interpretation
Girishkumar Ponkiya
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Pushpak Bhattacharyya
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Girish K. Palshikar
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Linear Ensembles of Word Embedding Models
Avo Muromägi
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Kairit Sirts
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Sven Laur
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Word Similarity Datasets for Indian Languages: Annotation and Baseline Systems
Syed Sarfaraz Akhtar
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Arihant Gupta
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Avijit Vajpayee
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Arjit Srivastava
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Manish Shrivastava
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Story Cloze Ending Selection Baselines and Data Examination
Todor Mihaylov
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Anette Frank
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Centroid-based Text Summarization through Compositionality of Word Embeddings
Gaetano Rossiello
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Pierpaolo Basile
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Giovanni Semeraro
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Semantic Similarity of Arabic Sentences with Word Embeddings
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Didier Schwab
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Arabic POS Tagging: Don’t Abandon Feature Engineering Just Yet
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Hamdy Mubarak
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Ahmed Abdelali
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Mohamed Eldesouki
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Supervised and Unsupervised Word Sense Disambiguation on Word Embedding Vectors of Unambigous Synonyms
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Automated Preamble Detection in Dictated Medical Reports
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Greg Finley
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Erik Edwards
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Mark Miller
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Sentence Alignment using Unfolding Recursive Autoencoders
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Pabitra Mitra
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Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context
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Kai-Wei Chang
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James Zou
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Learning Joint Multilingual Sentence Representations with Neural Machine Translation
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Matthijs Douze
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community2vec: Vector representations of online communities encode semantic relationships
Trevor Martin
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Deep Learning for User Comment Moderation
John Pavlopoulos
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Prodromos Malakasiotis
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Ion Androutsopoulos
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Reconstruction of Word Embeddings from Sub-Word Parameters
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Improved Abusive Comment Moderation with User Embeddings
John Pavlopoulos
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Prodromos Malakasiotis
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Juli Bakagianni
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Ion Androutsopoulos
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Automatic Extraction of High-Quality Example Sentences for Word Learning Using a Determinantal Point Process
Arseny Tolmachev
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Sadao Kurohashi
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Traversal-Free Word Vector Evaluation in Analogy Space
Xiaoyin Che
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Nico Ring
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Willi Raschkowski
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Haojin Yang
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Christoph Meinel
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Linguistically Rich Vector Representations of Supertags for TAG Parsing
Dan Friedman
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Jungo Kasai
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R. Thomas McCoy
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Robert Frank
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Forrest Davis
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Owen Rambow
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Dual Embeddings and Metrics for Relational Similarity
Dandan Li
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Douglas Summers-Stay
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Distributional Lesk: Effective Knowledge-Based Word Sense Disambiguation
Dieke Oele
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Gertjan van Noord
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Sound Analogies with Phoneme Embeddings
Miikka P. Silfverberg
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Lingshuang Mao
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Mans Hulden
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Current and Future Psychological Health Prediction using Language and Socio-Demographics of Children for the CLPysch 2018 Shared Task
Sharath Chandra Guntuku
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Salvatore Giorgi
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Lyle Ungar
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An LSTM-CRF Based Approach to Token-Level Metaphor Detection
Malay Pramanick
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Ashim Gupta
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Pabitra Mitra
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Entropy-Based Subword Mining with an Application to Word Embeddings
Ahmed El-Kishky
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Frank Xu
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Aston Zhang
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Stephen Macke
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Jiawei Han
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Incorporating Subword Information into Matrix Factorization Word Embeddings
Alexandre Salle
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Aline Villavicencio
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Embedding Text in Hyperbolic Spaces
Bhuwan Dhingra
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Christopher Shallue
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Mohammad Norouzi
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Andrew Dai
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George Dahl
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Low-Resource Machine Transliteration Using Recurrent Neural Networks of Asian Languages
Ngoc Tan Le
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Fatiha Sadat
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Evaluating Textual Representations through Image Generation
Graham Spinks
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Marie-Francine Moens
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Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell
Pia Sommerauer
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Antske Fokkens
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State Gradients for RNN Memory Analysis
Lyan Verwimp
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Hugo Van hamme
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Vincent Renkens
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Patrick Wambacq
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Affordance Extraction and Inference based on Semantic Role Labeling
Daniel Loureiro
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Alípio Jorge
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Unsupervised Identification of Study Descriptors in Toxicology Research: An Experimental Study
Drahomira Herrmannova
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Steven Young
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Robert Patton
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Christopher Stahl
|
Nicole Kleinstreuer
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Mary Wolfe
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Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification
Tobias Daudert
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Paul Buitelaar
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Distributional Effects of Gender Contrasts Across Categories
Timothee Mickus
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Olivier Bonami
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Denis Paperno
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Verb Argument Structure Alternations in Word and Sentence Embeddings
Katharina Kann
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Alex Warstadt
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Adina Williams
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Samuel R. Bowman
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Discourse Relation Recognition by Comparing Various Units of Sentence Expression with Recursive Neural Network
Atsushi Otsuka
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Toru Hirano
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Chiaki Miyazaki
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Ryo Masumura
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Ryuichiro Higashinaka
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Toshiro Makino
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Yoshihiro Matsuo
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An Empirical Study on Sentiment Classification of Chinese Review using Word Embedding
Yiou Lin
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Hang Lei
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Jia Wu
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Xiaoyu Li
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http://research.microsoft.com/en-
http://metaoptimize.com/projects/wordreprs/
Field Of Study
Linguistic Trends
Syntax
Morphology
Language
English
Dataset
News
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