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Distributional Semantics in Technicolor
Elia Bruni
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Gemma Boleda
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Marco Baroni
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Nam-Khanh Tran
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Paper Details:
Month: July
Year: 2012
Location: Jeju Island, Korea
Venue:
ACL |
Citations
URL
A Markovian approach to distributional semantics with application to semantic compositionality
Édouard Grave
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Guillaume Obozinski
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Francis Bach
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Predicting human similarity judgments with distributional models: The value of word associations.
Simon De Deyne
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Amy Perfors
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Daniel J Navarro
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Improved Word Embeddings with Implicit Structure Information
Jie Shen
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Cong Liu
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Is an Image Worth More than a Thousand Words? On the Fine-Grain Semantic Differences between Visual and Linguistic Representations
Guillem Collell
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Marie-Francine Moens
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Learning Word Meta-Embeddings by Autoencoding
Danushka Bollegala
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Cong Bao
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Aff2Vec: Affect–Enriched Distributional Word Representations
Sopan Khosla
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Niyati Chhaya
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Kushal Chawla
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Multimodal Grounding for Language Processing
Lisa Beinborn
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Teresa Botschen
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Iryna Gurevych
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AnlamVer: Semantic Model Evaluation Dataset for Turkish - Word Similarity and Relatedness
Gökhan Ercan
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Olcay Taner Yıldız
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First Order vs. Higher Order Modification in Distributional Semantics
Gemma Boleda
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Eva Maria Vecchi
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Miquel Cornudella
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Louise McNally
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Exploiting Language Models for Visual Recognition
Dieu-Thu Le
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Jasper Uijlings
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Raffaella Bernardi
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A Multimodal LDA Model integrating Textual, Cognitive and Visual Modalities
Stephen Roller
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Sabine Schulte im Walde
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Of Words, Eyes and Brains: Correlating Image-Based Distributional Semantic Models with Neural Representations of Concepts
Andrew J. Anderson
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Elia Bruni
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Ulisse Bordignon
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Massimo Poesio
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Marco Baroni
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Learning Image Embeddings using Convolutional Neural Networks for Improved Multi-Modal Semantics
Douwe Kiela
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Léon Bottou
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Learning Abstract Concept Embeddings from Multi-Modal Data: Since You Probably Can’t See What I Mean
Felix Hill
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Anna Korhonen
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Learning Better Embeddings for Rare Words Using Distributional Representations
Irina Sergienya
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Hinrich Schütze
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Do You See What I Mean? Visual Resolution of Linguistic Ambiguities
Yevgeni Berzak
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Andrei Barbu
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Daniel Harari
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Boris Katz
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Shimon Ullman
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A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution
Shaohua Li
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Jun Zhu
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Chunyan Miao
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Evaluation of Word Vector Representations by Subspace Alignment
Yulia Tsvetkov
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Manaal Faruqui
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Wang Ling
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Guillaume Lample
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Chris Dyer
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Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics
Douwe Kiela
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Anita Lilla Verő
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Stephen Clark
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WordRank: Learning Word Embeddings via Robust Ranking
Shihao Ji
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Hyokun Yun
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Pinar Yanardag
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Shin Matsushima
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S. V. N. Vishwanathan
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Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding
Joseph Sanu
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Mingbin Xu
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Hui Jiang
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Quan Liu
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Deriving continous grounded meaning representations from referentially structured multimodal contexts
Sina Zarrieß
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David Schlangen
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Speaking, Seeing, Understanding: Correlating semantic models with conceptual representation in the brain
Luana Bulat
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Stephen Clark
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Ekaterina Shutova
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Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings
Bofang Li
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Tao Liu
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Zhe Zhao
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Buzhou Tang
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Aleksandr Drozd
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Anna Rogers
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Xiaoyong Du
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Quantifying the Effects of Text Duplication on Semantic Models
Alexandra Schofield
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Laure Thompson
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David Mimno
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Learning Gender-Neutral Word Embeddings
Jieyu Zhao
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Yichao Zhou
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Zeyu Li
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Wei Wang
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Kai-Wei Chang
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Improving Distributional Semantic Vectors through Context Selection and Normalisation
Tamara Polajnar
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Stephen Clark
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The Language of Place: Semantic Value from Geospatial Context
Anne Cocos
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Chris Callison-Burch
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SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation
Felix Hill
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Roi Reichart
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Anna Korhonen
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Learning Word Representations with Regularization from Prior Knowledge
Yan Song
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Chia-Jung Lee
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Fei Xia
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Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge
Steven Derby
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Paul Miller
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Brian Murphy
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Barry Devereux
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Resources to Examine the Quality of Word Embedding Models Trained on n-Gram Data
Ábel Elekes
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Adrian Englhardt
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Martin Schäler
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Klemens Böhm
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Evaluation of Simple Distributional Compositional Operations on Longer Texts
Tamara Polajnar
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Laura Rimell
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Stephen Clark
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Word Embedding Evaluation and Combination
Sahar Ghannay
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Benoit Favre
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Yannick Estève
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Nathalie Camelin
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Joint Learning of Sense and Word Embeddings
Mohammed Alsuhaibani
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Danushka Bollegala
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Combining Language and Vision with a Multimodal Skip-gram Model
Angeliki Lazaridou
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Nghia The Pham
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Marco Baroni
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Multiview LSA: Representation Learning via Generalized CCA
Pushpendre Rastogi
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Benjamin Van Durme
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Raman Arora
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Retrofitting Word Vectors to Semantic Lexicons
Manaal Faruqui
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Jesse Dodge
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Sujay Kumar Jauhar
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Chris Dyer
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Eduard Hovy
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Noah A. Smith
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Vision and Feature Norms: Improving automatic feature norm learning through cross-modal maps
Luana Bulat
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Douwe Kiela
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Stephen Clark
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Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
Simon Šuster
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Ivan Titov
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Gertjan van Noord
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Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn’t.
Anna Gladkova
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Aleksandr Drozd
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Satoshi Matsuoka
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Deep Neural Models of Semantic Shift
Alex Rosenfeld
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Katrin Erk
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Learning Word Embeddings for Low-Resource Languages by PU Learning
Chao Jiang
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Hsiang-Fu Yu
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Cho-Jui Hsieh
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Kai-Wei Chang
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Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings
Yan Song
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Shuming Shi
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Jing Li
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Haisong Zhang
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Introducing Two Vietnamese Datasets for Evaluating Semantic Models of (Dis-)Similarity and Relatedness
Kim Anh Nguyen
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Sabine Schulte im Walde
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Ngoc Thang Vu
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Models of Semantic Representation with Visual Attributes
Carina Silberer
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Vittorio Ferrari
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Mirella Lapata
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A relatedness benchmark to test the role of determiners in compositional distributional semantics
Raffaella Bernardi
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Georgiana Dinu
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Marco Marelli
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Marco Baroni
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VSEM: An open library for visual semantics representation
Elia Bruni
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Ulisse Bordignon
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Adam Liska
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Jasper Uijlings
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Irina Sergienya
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How to make words with vectors: Phrase generation in distributional semantics
Georgiana Dinu
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Marco Baroni
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Learning Grounded Meaning Representations with Autoencoders
Carina Silberer
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Mirella Lapata
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Concreteness and Subjectivity as Dimensions of Lexical Meaning
Felix Hill
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Anna Korhonen
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Distributed Representations of Geographically Situated Language
David Bamman
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Chris Dyer
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Noah A. Smith
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Improving Multi-Modal Representations Using Image Dispersion: Why Less is Sometimes More
Douwe Kiela
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Felix Hill
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Anna Korhonen
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Stephen Clark
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Community Evaluation and Exchange of Word Vectors at wordvectors.org
Manaal Faruqui
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Chris Dyer
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Simple Learning and Compositional Application of Perceptually Grounded Word Meanings for Incremental Reference Resolution
Casey Kennington
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David Schlangen
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Perceptually Grounded Selectional Preferences
Ekaterina Shutova
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Niket Tandon
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Gerard de Melo
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Open IE as an Intermediate Structure for Semantic Tasks
Gabriel Stanovsky
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Ido Dagan
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Mausam
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Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
William L. Hamilton
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Jure Leskovec
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Dan Jurafsky
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Matrix Factorization using Window Sampling and Negative Sampling for Improved Word Representations
Alexandre Salle
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Aline Villavicencio
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Marco Idiart
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MMFeat: A Toolkit for Extracting Multi-Modal Features
Douwe Kiela
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Verb Physics: Relative Physical Knowledge of Actions and Objects
Maxwell Forbes
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Yejin Choi
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Batch IS NOT Heavy: Learning Word Representations From All Samples
Xin Xin
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Fajie Yuan
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Xiangnan He
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Joemon M. Jose
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Multi-Modal Models for Concrete and Abstract Concept Meaning
Felix Hill
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Roi Reichart
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Anna Korhonen
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A Bayesian Model of Grounded Color Semantics
Brian McMahan
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Matthew Stone
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Improving Distributional Similarity with Lessons Learned from Word Embeddings
Omer Levy
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Yoav Goldberg
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Ido Dagan
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Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets
Rotem Dror
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Gili Baumer
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Marina Bogomolov
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Roi Reichart
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Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
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James Glass
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Taxonomy Beats Corpus in Similarity Identification, but Does It Matter?
Minh Le
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Antske Fokkens
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A Hybrid Distributional and Knowledge-based Model of Lexical Semantics
Nikolaos Aletras
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Mark Stevenson
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You and me... in a vector space: modelling individual speakers with distributional semantics
Aurélie Herbelot
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Behrang QasemiZadeh
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Semantic Frames and Visual Scenes: Learning Semantic Role Inventories from Image and Video Descriptions
Ekaterina Shutova
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Andreas Wundsam
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Helen Yannakoudakis
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HCCL at SemEval-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity
Junqing He
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Long Wu
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Xuemin Zhao
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Yonghong Yan
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A Systematic Study of Semantic Vector Space Model Parameters
Douwe Kiela
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Stephen Clark
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Probabilistic Modeling of Joint-context in Distributional Similarity
Oren Melamud
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Ido Dagan
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Jacob Goldberger
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Idan Szpektor
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Deniz Yuret
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Mr Darcy and Mr Toad, gentlemen: distributional names and their kinds
Aurélie Herbelot
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Intrinsic Evaluation of Word Vectors Fails to Predict Extrinsic Performance
Billy Chiu
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Anna Korhonen
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Sampo Pyysalo
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Problems With Evaluation of Word Embeddings Using Word Similarity Tasks
Manaal Faruqui
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Yulia Tsvetkov
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Pushpendre Rastogi
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Chris Dyer
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Improving Reliability of Word Similarity Evaluation by Redesigning Annotation Task and Performance Measure
Oded Avraham
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Yoav Goldberg
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Correlation-based Intrinsic Evaluation of Word Vector Representations
Yulia Tsvetkov
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Manaal Faruqui
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Chris Dyer
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A Proposal for Linguistic Similarity Datasets Based on Commonality Lists
Dmitrijs Milajevs
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Sascha Griffiths
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Finnish resources for evaluating language model semantics
Viljami Venekoski
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Jouko Vankka
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Are Distributional Representations Ready for the Real World? Evaluating Word Vectors for Grounded Perceptual Meaning
Lucy Li
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Jon Gauthier
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Evaluation of word embeddings against cognitive processes: primed reaction times in lexical decision and naming tasks
Jeremy Auguste
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Arnaud Rey
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Benoit Favre
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Fully Delexicalized Contexts for Syntax-Based Word Embeddings
Jenna Kanerva
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Sampo Pyysalo
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Filip Ginter
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Living a discrete life in a continuous world: Reference in cross-modal entity tracking
Gemma Boleda
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Sebastian Padó
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Nghia The Pham
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Marco Baroni
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Subword-level Composition Functions for Learning Word Embeddings
Bofang Li
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Aleksandr Drozd
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Tao Liu
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Xiaoyong Du
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WordNet Embeddings
Chakaveh Saedi
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António Branco
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João António Rodrigues
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João Silva
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http://wacky.sslmit.unibo.it/
http://clic.cimec.unitn.it/dm
http://www.natcorp.ox.ac.uk/
http://www.espgame.org
http://www.vlfeat.org/
https://github.com/s2m/FUSE
http://sites.google.com/site/
http://www.vlfeat.org/
Field Of Study
Linguistic Trends
Lexical Semantics
Distributional Semantics
Task
Tagging
Information Retrieval
Language
Spanish
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