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A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
Danqi Chen
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Jason Bolton
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Christopher D. Manning
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
ACL |
Citations
URL
Consensus Attention-based Neural Networks for Chinese Reading Comprehension
Yiming Cui
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Ting Liu
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Zhipeng Chen
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Shijin Wang
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Guoping Hu
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Learning to Search in Long Documents Using Document Structure
Mor Geva
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Jonathan Berant
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Reading Comprehension with Graph-based Temporal-Casual Reasoning
Yawei Sun
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Gong Cheng
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Yuzhong Qu
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Multi-Perspective Context Aggregation for Semi-supervised Cloze-style Reading Comprehension
Liang Wang
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Sujian Li
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Wei Zhao
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Kewei Shen
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Meng Sun
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Ruoyu Jia
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Jingming Liu
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Answerable or Not: Devising a Dataset for Extending Machine Reading Comprehension
Mao Nakanishi
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Tetsunori Kobayashi
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Yoshihiko Hayashi
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Subword-augmented Embedding for Cloze Reading Comprehension
Zhuosheng Zhang
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Yafang Huang
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Hai Zhao
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Dependent Gated Reading for Cloze-Style Question Answering
Reza Ghaeini
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Xiaoli Fern
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Hamed Shahbazi
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Prasad Tadepalli
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Learning Visually-Grounded Semantics from Contrastive Adversarial Samples
Haoyue Shi
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Jiayuan Mao
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Tete Xiao
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Yuning Jiang
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Jian Sun
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SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
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Jian Zhang
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Konstantin Lopyrev
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Percy Liang
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World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions
Teng Long
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Emmanuel Bengio
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Ryan Lowe
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Jackie Chi Kit Cheung
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Doina Precup
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Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension
David Golub
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Po-Sen Huang
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Xiaodong He
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Li Deng
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Recovering Question Answering Errors via Query Revision
Semih Yavuz
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Izzeddin Gur
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Yu Su
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Xifeng Yan
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Entity Tracking Improves Cloze-style Reading Comprehension
Luong Hoang
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Sam Wiseman
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Alexander Rush
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RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes
Semih Yagcioglu
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Aykut Erdem
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Erkut Erdem
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Nazli Ikizler-Cinbis
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Mapping Language to Code in Programmatic Context
Srinivasan Iyer
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Ioannis Konstas
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Alvin Cheung
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Luke Zettlemoyer
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A Deterministic Algorithm for Bridging Anaphora Resolution
Yufang Hou
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MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller
Seohyun Back
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Seunghak Yu
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Sathish Reddy Indurthi
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Jihie Kim
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Jaegul Choo
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Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
Todor Mihaylov
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Peter Clark
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Tushar Khot
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Ashish Sabharwal
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Dependency-based Hybrid Trees for Semantic Parsing
Zhanming Jie
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Wei Lu
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A Genre-Aware Attention Model to Improve the Likability Prediction of Books
Suraj Maharjan
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Manuel Montes
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Fabio A. González
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Thamar Solorio
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What Makes Reading Comprehension Questions Easier?
Saku Sugawara
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Kentaro Inui
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Satoshi Sekine
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Akiko Aizawa
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A Nil-Aware Answer Extraction Framework for Question Answering
Souvik Kundu
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Hwee Tou Ng
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Speed Reading: Learning to Read ForBackward via Shuttle
Tsu-Jui Fu
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Wei-Yun Ma
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How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks
Divyansh Kaushik
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Zachary C. Lipton
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Gated End-to-End Memory Networks
Fei Liu
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Julien Perez
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Broad Context Language Modeling as Reading Comprehension
Zewei Chu
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Hai Wang
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Kevin Gimpel
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David McAllester
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Extraction of Gene-Environment Interaction from the Biomedical Literature
Jinseon You
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Jin-Woo Chung
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Wonsuk Yang
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Jong C. Park
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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
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Benjamin Van Durme
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Framing QA as Building and Ranking Intersentence Answer Justifications
Peter Jansen
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Rebecca Sharp
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Mihai Surdeanu
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Peter Clark
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The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task
Roy Schwartz
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Maarten Sap
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Ioannis Konstas
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Leila Zilles
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Yejin Choi
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Noah A. Smith
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Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification
Rebecca Sharp
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Mihai Surdeanu
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Peter Jansen
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Marco A. Valenzuela-Escárcega
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Peter Clark
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Michael Hammond
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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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BioRead: A New Dataset for Biomedical Reading Comprehension
Dimitris Pappas
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Ion Androutsopoulos
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Haris Papageorgiou
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MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge
Simon Ostermann
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Ashutosh Modi
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Michael Roth
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Stefan Thater
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Manfred Pinkal
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Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences
Daniel Khashabi
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Snigdha Chaturvedi
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Michael Roth
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Shyam Upadhyay
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Dan Roth
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The Web as a Knowledge-Base for Answering Complex Questions
Alon Talmor
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Jonathan Berant
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Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies
Max Grusky
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Mor Naaman
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Yoav Artzi
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CliCR: a Dataset of Clinical Case Reports for Machine Reading Comprehension
Simon Šuster
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Walter Daelemans
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Enhanced Word Representations for Bridging Anaphora Resolution
Yufang Hou
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Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan
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Swabha Swayamdipta
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Omer Levy
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Roy Schwartz
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Samuel Bowman
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Noah A. Smith
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Visual Referring Expression Recognition: What Do Systems Actually Learn?
Volkan Cirik
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Louis-Philippe Morency
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Taylor Berg-Kirkpatrick
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Read and Comprehend by Gated-Attention Reader with More Belief
Haohui Deng
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Yik-Cheung Tam
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Gated Self-Matching Networks for Reading Comprehension and Question Answering
Wenhui Wang
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Nan Yang
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Furu Wei
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Baobao Chang
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Ming Zhou
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Coarse-to-Fine Question Answering for Long Documents
Eunsol Choi
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Daniel Hewlett
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Jakob Uszkoreit
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Illia Polosukhin
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Alexandre Lacoste
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Jonathan Berant
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Attention-over-Attention Neural Networks for Reading Comprehension
Yiming Cui
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Zhipeng Chen
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Si Wei
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Shijin Wang
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Ting Liu
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Guoping Hu
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Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability
Saku Sugawara
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Yusuke Kido
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Hikaru Yokono
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Akiko Aizawa
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Apples to Apples: Learning Semantics of Common Entities Through a Novel Comprehension Task
Omid Bakhshandeh
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James Allen
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Going out on a limb: Joint Extraction of Entity Mentions and Relations without Dependency Trees
Arzoo Katiyar
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Claire Cardie
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Leveraging Knowledge Bases in LSTMs for Improving Machine Reading
Bishan Yang
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Tom Mitchell
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Reading Wikipedia to Answer Open-Domain Questions
Danqi Chen
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Adam Fisch
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Jason Weston
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Antoine Bordes
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Learning to Skim Text
Adams Wei Yu
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Hongrae Lee
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Quoc Le
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Pay Attention to the Ending:Strong Neural Baselines for the ROC Story Cloze Task
Zheng Cai
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Lifu Tu
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Kevin Gimpel
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Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge
Todor Mihaylov
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Anette Frank
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Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds
Igor Labutov
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Bishan Yang
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Anusha Prakash
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Amos Azaria
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Denoising Distantly Supervised Open-Domain Question Answering
Yankai Lin
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Haozhe Ji
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Zhiyuan Liu
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Maosong Sun
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Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification
Yizhong Wang
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Kai Liu
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Jing Liu
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Wei He
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Yajuan Lyu
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Hua Wu
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Sujian Li
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Haifeng Wang
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Reinforced Extractive Summarization with Question-Focused Rewards
Kristjan Arumae
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Fei Liu
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Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions
Eric Wallace
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Jordan Boyd-Graber
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Constructing Datasets for Multi-hop Reading Comprehension Across Documents
Johannes Welbl
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Pontus Stenetorp
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Sebastian Riedel
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The NarrativeQA Reading Comprehension Challenge
Tomáš Kočiský
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Jonathan Schwarz
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Phil Blunsom
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Chris Dyer
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Karl Moritz Hermann
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Gábor Melis
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Edward Grefenstette
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Evaluating Semantic Parsing against a Simple Web-based Question Answering Model
Alon Talmor
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Mor Geva
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Jonathan Berant
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SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge
Simon Ostermann
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Michael Roth
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Ashutosh Modi
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Stefan Thater
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Manfred Pinkal
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YNU_Deep at SemEval-2018 Task 11: An Ensemble of Attention-based BiLSTM Models for Machine Comprehension
Peng Ding
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Xiaobing Zhou
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YNU Deep at SemEval-2018 Task 12: A BiLSTM Model with Neural Attention for Argument Reasoning Comprehension
Peng Ding
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Xiaobing Zhou
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Emergent Predication Structure in Hidden State Vectors of Neural Readers
Hai Wang
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Takeshi Onishi
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Kevin Gimpel
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David McAllester
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NewsQA: A Machine Comprehension Dataset
Adam Trischler
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Tong Wang
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Xingdi Yuan
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Justin Harris
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Alessandro Sordoni
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Philip Bachman
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Kaheer Suleman
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Detecting Off-topic Responses to Visual Prompts
Marek Rei
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An Encoder-decoder Approach to Predicting Causal Relations in Stories
Melissa Roemmele
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Andrew Gordon
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Robust and Scalable Differentiable Neural Computer for Question Answering
Jörg Franke
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Jan Niehues
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Alex Waibel
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https://github.com/danqi/
https://github.com/
Field Of Study
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Task
Language Understanding
Named Entity Recognition
Relation Extraction
Question Answering
Coreference Resolution
Machine Translation
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