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Neural Architectures for Named Entity Recognition
Guillaume Lample
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Miguel Ballesteros
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Sandeep Subramanian
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Kazuya Kawakami
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Chris Dyer
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
NAACL |
Citations
URL
The Role of Context in Neural Morphological Disambiguation
Qinlan Shen
|
Daniel Clothiaux
|
Emily Tagtow
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Patrick Littell
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Chris Dyer
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Attending to Characters in Neural Sequence Labeling Models
Marek Rei
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Gamal Crichton
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Sampo Pyysalo
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Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction
Pankaj Gupta
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Hinrich Schütze
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Bernt Andrassy
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An Empirical Study on Fine-Grained Named Entity Recognition
Khai Mai
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Thai-Hoang Pham
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Minh Trung Nguyen
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Tuan Duc Nguyen
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Danushka Bollegala
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Ryohei Sasano
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Satoshi Sekine
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Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?
Yi Zhang
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Xu Sun
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Shuming Ma
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Yang Yang
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Xuancheng Ren
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Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!
Steffen Eger
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Johannes Daxenberger
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Christian Stab
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Iryna Gurevych
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Treat us like the sequences we are: Prepositional Paraphrasing of Noun Compounds using LSTM
Girishkumar Ponkiya
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Kevin Patel
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Pushpak Bhattacharyya
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Girish Palshikar
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Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning
Yaosheng Yang
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Wenliang Chen
|
Zhenghua Li
|
Zhengqiu He
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Min Zhang
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Learning to Progressively Recognize New Named Entities with Sequence to Sequence Models
Lingzhen Chen
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Alessandro Moschitti
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Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs
Wenpeng Yin
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Yadollah Yaghoobzadeh
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Hinrich Schütze
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Part-of-Speech Tagging on an Endangered Language: a Parallel Griko-Italian Resource
Antonios Anastasopoulos
|
Marika Lekakou
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Josep Quer
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Eleni Zimianiti
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Justin DeBenedetto
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David Chiang
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Structured Representation Learning for Online Debate Stance Prediction
Chang Li
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Aldo Porco
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Dan Goldwasser
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Integrating Tree Structures and Graph Structures with Neural Networks to Classify Discussion Discourse Acts
Yasuhide Miura
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Ryuji Kano
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Motoki Taniguchi
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Tomoki Taniguchi
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Shotaro Misawa
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Tomoko Ohkuma
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Design Challenges and Misconceptions in Neural Sequence Labeling
Jie Yang
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Shuailong Liang
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Yue Zhang
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Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping
Jian Ni
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Radu Florian
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Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers
André F. T. Martins
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Julia Kreutzer
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A Sub-Character Architecture for Korean Language Processing
Karl Stratos
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AMR Parsing using Stack-LSTMs
Miguel Ballesteros
|
Yaser Al-Onaizan
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Semi-supervised Structured Prediction with Neural CRF Autoencoder
Xiao Zhang
|
Yong Jiang
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Hao Peng
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Kewei Tu
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Dan Goldwasser
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Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification
Heike Adel
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Hinrich Schütze
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End-to-End Neural Relation Extraction with Global Optimization
Meishan Zhang
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Yue Zhang
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Guohong Fu
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Scientific Information Extraction with Semi-supervised Neural Tagging
Yi Luan
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Mari Ostendorf
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Hannaneh Hajishirzi
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Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Emma Strubell
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Patrick Verga
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David Belanger
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Andrew McCallum
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Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources
Joo-Kyung Kim
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Young-Bum Kim
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Ruhi Sarikaya
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Eric Fosler-Lussier
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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 Segmental Hypergraphs for Overlapping Mention Recognition
Bailin Wang
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Wei Lu
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Variational Sequential Labelers for Semi-Supervised Learning
Mingda Chen
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Qingming Tang
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Karen Livescu
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Kevin Gimpel
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Neural Cross-Lingual Named Entity Recognition with Minimal Resources
Jiateng Xie
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Zhilin Yang
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Graham Neubig
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Noah A. Smith
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Jaime Carbonell
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Neural-Davidsonian Semantic Proto-role Labeling
Rachel Rudinger
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Adam Teichert
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Ryan Culkin
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Sheng Zhang
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Benjamin Van Durme
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Conversational Decision-Making Model for Predicting the King’s Decision in the Annals of the Joseon Dynasty
JinYeong Bak
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Alice Oh
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PubSE: A Hierarchical Model for Publication Extraction from Academic Homepages
Yiqing Zhang
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Jianzhong Qi
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Rui Zhang
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Chuandong Yin
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A Neural Transition-based Model for Nested Mention Recognition
Bailin Wang
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Wei Lu
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Yu Wang
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Hongxia Jin
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Effective Use of Context in Noisy Entity Linking
David Mueller
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Greg Durrett
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Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
Liyuan Liu
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Xiang Ren
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Jingbo Shang
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Xiaotao Gu
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Jian Peng
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Jiawei Han
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Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms
Yubo Chen
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Hang Yang
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Kang Liu
|
Jun Zhao
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Yantao Jia
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Memory, Show the Way: Memory Based Few Shot Word Representation Learning
Jingyuan Sun
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Shaonan Wang
|
Chengqing Zong
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Neural Multitask Learning for Simile Recognition
Lizhen Liu
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Xiao Hu
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Wei Song
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Ruiji Fu
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Ting Liu
|
Guoping Hu
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Structured Alignment Networks for Matching Sentences
Yang Liu
|
Matt Gardner
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Mirella Lapata
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Better Transition-Based AMR Parsing with a Refined Search Space
Zhijiang Guo
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Wei Lu
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Deep Relevance Ranking Using Enhanced Document-Query Interactions
Ryan McDonald
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George Brokos
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Ion Androutsopoulos
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Neural Adaptation Layers for Cross-domain Named Entity Recognition
Bill Yuchen Lin
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Wei Lu
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Learning Named Entity Tagger using Domain-Specific Dictionary
Jingbo Shang
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Liyuan Liu
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Xiaotao Gu
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Xiang Ren
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Teng Ren
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Jiawei Han
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Dependency-based Hybrid Trees for Semantic Parsing
Zhanming Jie
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Wei Lu
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Learning Better Internal Structure of Words for Sequence Labeling
Yingwei Xin
|
Ethan Hart
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Vibhuti Mahajan
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Jean-David Ruvini
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Neural Transition Based Parsing of Web Queries: An Entity Based Approach
Rivka Malca
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Roi Reichart
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Deep Exhaustive Model for Nested Named Entity Recognition
Mohammad Golam Sohrab
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Makoto Miwa
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Evaluating the Utility of Hand-crafted Features in Sequence Labelling
Minghao Wu
|
Fei Liu
|
Trevor Cohn
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On the Strength of Character Language Models for Multilingual Named Entity Recognition
Xiaodong Yu
|
Stephen Mayhew
|
Mark Sammons
|
Dan Roth
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Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts
Di Jin
|
Peter Szolovits
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Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction
Yi Luan
|
Luheng He
|
Mari Ostendorf
|
Hannaneh Hajishirzi
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Building Context-aware Clause Representations for Situation Entity Type Classification
Zeyu Dai
|
Ruihong Huang
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DERE: A Task and Domain-Independent Slot Filling Framework for Declarative Relation Extraction
Heike Adel
|
Laura Ana Maria Bostan
|
Sean Papay
|
Sebastian Padó
|
Roman Klinger
|
Neural Tree Indexers for Text Understanding
Tsendsuren Munkhdalai
|
Hong Yu
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When is multitask learning effective? Semantic sequence prediction under varying data conditions
Héctor Martínez Alonso
|
Barbara Plank
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Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities
Yadollah Yaghoobzadeh
|
Hinrich Schütze
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Instances and concepts in distributional space
Gemma Boleda
|
Abhijeet Gupta
|
Sebastian Padó
|
Are Emojis Predictable?
Francesco Barbieri
|
Miguel Ballesteros
|
Horacio Saggion
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Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure
Shen Huang
|
Xu Sun
|
Houfeng Wang
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Geographical Evaluation of Word Embeddings
Michal Konkol
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Tomáš Brychcín
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Michal Nykl
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Tomáš Hercig
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Embracing Non-Traditional Linguistic Resources for Low-resource Language Name Tagging
Boliang Zhang
|
Di Lu
|
Xiaoman Pan
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Ying Lin
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Halidanmu Abudukelimu
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Heng Ji
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Kevin Knight
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Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields
Fei Liu
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Timothy Baldwin
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Trevor Cohn
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Named Entity Recognition with Stack Residual LSTM and Trainable Bias Decoding
Quan Tran
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Andrew MacKinlay
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Antonio Jimeno Yepes
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Integrating Subject, Type, and Property Identification for Simple Question Answering over Knowledge Base
Wei-Chuan Hsiao
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Hen-Hsen Huang
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Hsin-Hsi Chen
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MONPA: Multi-objective Named-entity and Part-of-speech Annotator for Chinese using Recurrent Neural Network
Yu-Lun Hsieh
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Yung-Chun Chang
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Yi-Jie Huang
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Shu-Hao Yeh
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Chun-Hung Chen
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Wen-Lian Hsu
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Segment-Level Neural Conditional Random Fields for Named Entity Recognition
Motoki Sato
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Hiroyuki Shindo
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Ikuya Yamada
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Yuji Matsumoto
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MTNA: A Neural Multi-task Model for Aspect Category Classification and Aspect Term Extraction On Restaurant Reviews
Wei Xue
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Wubai Zhou
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Tao Li
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Qing Wang
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Identifying Protein-protein Interactions in Biomedical Literature using Recurrent Neural Networks with Long Short-Term Memory
Yu-Lun Hsieh
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Yung-Chun Chang
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Nai-Wen Chang
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Wen-Lian Hsu
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A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition
Dingquan Wang
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Nanyun Peng
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Kevin Duh
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Making Neural QA as Simple as Possible but not Simpler
Dirk Weissenborn
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Georg Wiese
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Laura Seiffe
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Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection
Peter Makarov
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Tatiana Ruzsics
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Simon Clematide
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Embedded-State Latent Conditional Random Fields for Sequence Labeling
Dung Thai
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Sree Harsha Ramesh
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Shikhar Murty
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Luke Vilnis
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Andrew McCallum
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Global Attention for Name Tagging
Boliang Zhang
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Spencer Whitehead
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Lifu Huang
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Heng Ji
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Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit
Amrith Krishna
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Bodhisattwa P. Majumder
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Rajesh Bhat
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Pawan Goyal
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Modeling Composite Labels for Neural Morphological Tagging
Alexander Tkachenko
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Kairit Sirts
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End-to-End Neural Entity Linking
Nikolaos Kolitsas
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Octavian-Eugen Ganea
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Thomas Hofmann
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Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural Networks
Gor Arakelyan
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Karen Hambardzumyan
|
Hrant Khachatrian
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A Corpus for Modeling Word Importance in Spoken Dialogue Transcripts
Sushant Kafle
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Matt Huenerfauth
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A New Corpus to Support Text Mining for the Curation of Metabolites in the ChEBI Database
Matthew Shardlow
|
Nhung Nguyen
|
Gareth Owen
|
Claire O’Donovan
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Andrew Leach
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John McNaught
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Steve Turner
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Sophia Ananiadou
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Language adaptation experiments via cross-lingual embeddings for related languages
Serge Sharoff
|
English-Basque Statistical and Neural Machine Translation
Inigo Jauregi Unanue
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Lierni Garmendia Arratibel
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Ehsan Zare Borzeshi
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Massimo Piccardi
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Improving a Neural-based Tagger for Multiword Expressions Identification
Dušan Variš
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Natalia Klyueva
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Graph Based Semi-Supervised Learning Approach for Tamil POS tagging
Mokanarangan Thayaparan
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Surangika Ranathunga
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Uthayasanker Thayasivam
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BiLSTM-CRF for Persian Named-Entity Recognition ArmanPersoNERCorpus: the First Entity-Annotated Persian Dataset
Hanieh Poostchi
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Ehsan Zare Borzeshi
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Massimo Piccardi
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Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition
Zhenghui Wang
|
Yanru Qu
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Liheng Chen
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Jian Shen
|
Weinan Zhang
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Shaodian Zhang
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Yimei Gao
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Gen Gu
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Ken Chen
|
Yong Yu
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Zero-Shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens
Marek Rei
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Anders Søgaard
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Variable Typing: Assigning Meaning to Variables in Mathematical Text
Yiannos Stathopoulos
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Simon Baker
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Marek Rei
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Simone Teufel
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Multimodal Named Entity Recognition for Short Social Media Posts
Seungwhan Moon
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Leonardo Neves
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Vitor Carvalho
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What’s Going On in Neural Constituency Parsers? An Analysis
David Gaddy
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Mitchell Stern
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Dan Klein
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Deep Contextualized Word Representations
Matthew Peters
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Mark Neumann
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Mohit Iyyer
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Matt Gardner
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Christopher Clark
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Kenton Lee
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Luke Zettlemoyer
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An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols
Chaitanya Kulkarni
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Wei Xu
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Alan Ritter
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Raghu Machiraju
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Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings
Yan Song
|
Shuming Shi
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Jing Li
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Haisong Zhang
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Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Networks
Salman Mohammed
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Peng Shi
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Jimmy Lin
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Syntactic Patterns Improve Information Extraction for Medical Search
Roma Patel
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Yinfei Yang
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Iain Marshall
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Ani Nenkova
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Byron Wallace
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When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?
Ye Qi
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Devendra Sachan
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Matthieu Felix
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Sarguna Padmanabhan
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Graham Neubig
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Construction of the Literature Graph in Semantic Scholar
Waleed Ammar
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Dirk Groeneveld
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Chandra Bhagavatula
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Iz Beltagy
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Miles Crawford
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Doug Downey
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Jason Dunkelberger
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Ahmed Elgohary
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Sergey Feldman
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Vu Ha
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Rodney Kinney
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Sebastian Kohlmeier
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Kyle Lo
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Tyler Murray
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Hsu-Han Ooi
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Matthew Peters
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Joanna Power
|
Sam Skjonsberg
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Lucy Wang
|
Chris Wilhelm
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Zheng Yuan
|
Madeleine van Zuylen
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Oren Etzioni
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Bag of Experts Architectures for Model Reuse in Conversational Language Understanding
Rahul Jha
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Alex Marin
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Suvamsh Shivaprasad
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Imed Zitouni
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VnCoreNLP: A Vietnamese Natural Language Processing Toolkit
Thanh Vu
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Dat Quoc Nguyen
|
Dai Quoc Nguyen
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Mark Dras
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Mark Johnson
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Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning
Yulia Tsvetkov
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Manaal Faruqui
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Wang Ling
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Brian MacWhinney
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Chris Dyer
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End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Xuezhe Ma
|
Eduard Hovy
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Harnessing Deep Neural Networks with Logic Rules
Zhiting Hu
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Xuezhe Ma
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Zhengzhong Liu
|
Eduard Hovy
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Eric Xing
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Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning
Nanyun Peng
|
Mark Dredze
|
Aggregating and Predicting Sequence Labels from Crowd Annotations
An Thanh Nguyen
|
Byron Wallace
|
Junyi Jessy Li
|
Ani Nenkova
|
Matthew Lease
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Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme
Suncong Zheng
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Feng Wang
|
Hongyun Bao
|
Yuexing Hao
|
Peng Zhou
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Bo Xu
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Leveraging Knowledge Bases in LSTMs for Improving Machine Reading
Bishan Yang
|
Tom Mitchell
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Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection
Jian Ni
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Georgiana Dinu
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Radu Florian
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Semi-supervised sequence tagging with bidirectional language models
Matthew Peters
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Waleed Ammar
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Chandra Bhagavatula
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Russell Power
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Cross-lingual Name Tagging and Linking for 282 Languages
Xiaoman Pan
|
Boliang Zhang
|
Jonathan May
|
Joel Nothman
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Kevin Knight
|
Heng Ji
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Ontology-Aware Token Embeddings for Prepositional Phrase Attachment
Pradeep Dasigi
|
Waleed Ammar
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Chris Dyer
|
Eduard Hovy
|
Semi-supervised Multitask Learning for Sequence Labeling
Marek Rei
|
Neural Architecture for Temporal Relation Extraction: A Bi-LSTM Approach for Detecting Narrative Containers
Julien Tourille
|
Olivier Ferret
|
Aurélie Névéol
|
Xavier Tannier
|
Multi-Task Learning of Keyphrase Boundary Classification
Isabelle Augenstein
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Anders Søgaard
|
A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature
Benjamin Nye
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Junyi Jessy Li
|
Roma Patel
|
Yinfei Yang
|
Iain Marshall
|
Ani Nenkova
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Byron Wallace
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Sentence-State LSTM for Text Representation
Yue Zhang
|
Qi Liu
|
Linfeng Song
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A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling
Ying Lin
|
Shengqi Yang
|
Veselin Stoyanov
|
Heng Ji
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Strong Baselines for Neural Semi-Supervised Learning under Domain Shift
Sebastian Ruder
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Barbara Plank
|
Chinese NER Using Lattice LSTM
Yue Zhang
|
Jie Yang
|
Harvesting Paragraph-level Question-Answer Pairs from Wikipedia
Xinya Du
|
Claire Cardie
|
Efficient Large-Scale Neural Domain Classification with Personalized Attention
Young-Bum Kim
|
Dongchan Kim
|
Anjishnu Kumar
|
Ruhi Sarikaya
|
A Named Entity Recognition Shootout for German
Martin Riedl
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Sebastian Padó
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Hybrid semi-Markov CRF for Neural Sequence Labeling
Zhixiu Ye
|
Zhen-Hua Ling
|
A Study of the Importance of External Knowledge in the Named Entity Recognition Task
Dominic Seyler
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Tatiana Dembelova
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Luciano Del Corro
|
Johannes Hoffart
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Gerhard Weikum
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Judicious Selection of Training Data in Assisting Language for Multilingual Neural NER
Rudra Murthy
|
Anoop Kunchukuttan
|
Pushpak Bhattacharyya
|
Recognizing Complex Entity Mentions: A Review and Future Directions
Xiang Dai
|
Platforms for Non-speakers Annotating Names in Any Language
Ying Lin
|
Cash Costello
|
Boliang Zhang
|
Di Lu
|
Heng Ji
|
James Mayfield
|
Paul McNamee
|
NextGen AML: Distributed Deep Learning based Language Technologies to Augment Anti Money Laundering Investigation
Jingguang Han
|
Utsab Barman
|
Jeremiah Hayes
|
Jinhua Du
|
Edward Burgin
|
Dadong Wan
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Multi-lingual Entity Discovery and Linking
Avi Sil
|
Heng Ji
|
Dan Roth
|
Silviu-Petru Cucerzan
|
Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations
Eliyahu Kiperwasser
|
Yoav Goldberg
|
A Comparison of Feature-Based and Neural Scansion of Poetry
Manex Agirrezabal
|
Iñaki Alegria
|
Mans Hulden
|
Joint Unsupervised Learning of Semantic Representation of Words and Roles in Dependency Trees
Michal Konkol
|
Deep Learning Models For Multiword Expression Identification
Waseem Gharbieh
|
Virendrakumar Bhavsar
|
Paul Cook
|
LIMSI-COT at SemEval-2017 Task 12: Neural Architecture for Temporal Information Extraction from Clinical Narratives
Julien Tourille
|
Olivier Ferret
|
Xavier Tannier
|
Aurélie Névéol
|
TeamDL at SemEval-2018 Task 8: Cybersecurity Text Analysis using Convolutional Neural Network and Conditional Random Fields
Manikandan R
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Krishna Madgula
|
Snehanshu Saha
|
HCCL at SemEval-2018 Task 8: An End-to-End System for Sequence Labeling from Cybersecurity Reports
Mingming Fu
|
Xuemin Zhao
|
Yonghong Yan
|
Deep Affix Features Improve Neural Named Entity Recognizers
Vikas Yadav
|
Rebecca Sharp
|
Steven Bethard
|
From Word Segmentation to POS Tagging for Vietnamese
Dat Quoc Nguyen
|
Thanh Vu
|
Dai Quoc Nguyen
|
Mark Dras
|
Mark Johnson
|
Correlation-based Intrinsic Evaluation of Word Vector Representations
Yulia Tsvetkov
|
Manaal Faruqui
|
Chris Dyer
|
Spanish NER with Word Representations and Conditional Random Fields
Jenny Linet Copara Zea
|
Jose Eduardo Ochoa Luna
|
Camilo Thorne
|
Goran Glavaš
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DeepNNNER: Applying BLSTM-CNNs and Extended Lexicons to Named Entity Recognition in Tweets
Fabrice Dugas
|
Eric Nichols
|
Bidirectional LSTM-CRF for Clinical Concept Extraction
Raghavendra Chalapathy
|
Ehsan Zare Borzeshi
|
Massimo Piccardi
|
Assessing the Corpus Size vs. Similarity Trade-off for Word Embeddings in Clinical NLP
Kirk Roberts
|
Chinese Grammatical Error Diagnosis with Long Short-Term Memory Networks
Bo Zheng
|
Wanxiang Che
|
Jiang Guo
|
Ting Liu
|
Learning Orthographic Features in Bi-directional LSTM for Biomedical Named Entity Recognition
Nut Limsopatham
|
Nigel Collier
|
Named Entity Recognition in Swedish Health Records with Character-Based Deep Bidirectional LSTMs
Simon Almgren
|
Sean Pavlov
|
Olof Mogren
|
An Investigation of Recurrent Neural Architectures for Drug Name Recognition
Raghavendra Chalapathy
|
Ehsan Zare Borzeshi
|
Massimo Piccardi
|
Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data Sparsity
Vinayak Athavale
|
Shreenivas Bharadwaj
|
Monik Pamecha
|
Ameya Prabhu
|
Manish Shrivastava
|
Redefining Context Windows for Word Embedding Models: An Experimental Study
Pierre Lison
|
Andrey Kutuzov
|
A Neural Architecture for Dialectal Arabic Segmentation
Younes Samih
|
Mohammed Attia
|
Mohamed Eldesouki
|
Ahmed Abdelali
|
Hamdy Mubarak
|
Laura Kallmeyer
|
Kareem Darwish
|
Proactive Learning for Named Entity Recognition
Maolin Li
|
Nhung Nguyen
|
Sophia Ananiadou
|
Multi-task Domain Adaptation for Sequence Tagging
Nanyun Peng
|
Mark Dredze
|
Supersense Tagging with a Combination of Character, Subword, and Word-level Representations
Youhyun Shin
|
Sang-goo Lee
|
Entity Identification as Multitasking
Karl Stratos
|
A Multi-task Approach for Named Entity Recognition in Social Media Data
Gustavo Aguilar
|
Suraj Maharjan
|
Adrian Pastor López-Monroy
|
Thamar Solorio
|
Multi-channel BiLSTM-CRF Model for Emerging Named Entity Recognition in Social Media
Bill Y. Lin
|
Frank Xu
|
Zhiyi Luo
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Kenny Zhu
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A Feature-based Ensemble Approach to Recognition of Emerging and Rare Named Entities
Utpal Kumar Sikdar
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Björn Gambäck
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An Exploration of Word Embedding Initialization in Deep-Learning Tasks
Tom Kocmi
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Ondřej Bojar
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Neural Morphological Tagging of Lemma Sequences for Machine Translation
Costanza Conforti
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Matthias Huck
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Alexander Fraser
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Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings
Dat Quoc Nguyen
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Karin Verspoor
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Bacteria and Biotope Entity Recognition Using A Dictionary-Enhanced Neural Network Model
Qiuyue Wang
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Xiaofeng Meng
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Baseline: A Library for Rapid Modeling, Experimentation and Development of Deep Learning Algorithms targeting NLP
Daniel Pressel
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Sagnik Ray Choudhury
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Brian Lester
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Yanjie Zhao
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Matt Barta
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RECIPE: Applying Open Domain Question Answering to Privacy Policies
Yan Shvartzshanider
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Ananth Balashankar
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Thomas Wies
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GHHT at CALCS 2018: Named Entity Recognition for Dialectal Arabic Using Neural Networks
Mohammed Attia
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Younes Samih
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Wolfgang Maier
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Bilingual Character Representation for Efficiently Addressing Out-of-Vocabulary Words in Code-Switching Named Entity Recognition
Genta Indra Winata
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Chien-Sheng Wu
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Andrea Madotto
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Pascale Fung
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Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task
Gustavo Aguilar
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Fahad AlGhamdi
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Victor Soto
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Mona Diab
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Julia Hirschberg
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Thamar Solorio
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Code-Switched Named Entity Recognition with Embedding Attention
Changhan Wang
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Kyunghyun Cho
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Douwe Kiela
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Chinese Grammatical Error Diagnosis Based on CRF and LSTM-CRF model
Yujie Zhou
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Yinan Shao
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Yong Zhou
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Replicated Siamese LSTM in Ticketing System for Similarity Learning and Retrieval in Asymmetric Texts
Pankaj Gupta
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Bernt Andrassy
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Hinrich Schütze
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Automatic Token and Turn Level Language Identification for Code-Switched Text Dialog: An Analysis Across Language Pairs and Corpora
Vikram Ramanarayanan
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Robert Pugh
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PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection
Steffen Eger
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Andreas Rücklé
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Iryna Gurevych
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LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation
Pankaj Gupta
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Hinrich Schütze
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Towards Automatic Fake News Detection: Cross-Level Stance Detection in News Articles
Costanza Conforti
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Mohammad Taher Pilehvar
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Nigel Collier
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Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition
Zenan Zhai
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Dat Quoc Nguyen
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Karin Verspoor
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In-domain Context-aware Token Embeddings Improve Biomedical Named Entity Recognition
Golnar Sheikhshabbafghi
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Inanc Birol
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Anoop Sarkar
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Evaluation of a Sequence Tagging Tool for Biomedical Texts
Julien Tourille
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Matthieu Doutreligne
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Olivier Ferret
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Aurélie Névéol
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Nicolas Paris
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Xavier Tannier
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Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding
Samuel Louvan
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Bernardo Magnini
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Empirical Evaluation of Character-Based Model on Neural Named-Entity Recognition in Indonesian Conversational Texts
Kemal Kurniawan
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Samuel Louvan
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https://github.com/
https://github.com/clab/
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Named Entity Recognition
Machine Translation
Approach
Unsupervised Learning
Language
Multilingual
English
Spanish
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