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MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text
Matthew Richardson
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Christopher J.C. Burges
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Erin Renshaw
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Paper Details:
Month: October
Year: 2013
Location: Seattle, Washington, USA
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
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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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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A Survey on Open Information Extraction
Christina Niklaus
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Matthias Cetto
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André Freitas
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Siegfried Handschuh
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Animacy Detection with Voting Models
Joshua Moore
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Christopher J.C. Burges
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Erin Renshaw
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Wen-tau Yih
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evision PDF of 'Modeling Biological Processes for Reading Comprehension
Jonathan Berant
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Vivek Srikumar
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Pei-Chun Chen
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Abby Vander Linden
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Brittany Harding
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Brad Huang
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Peter Clark
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Christopher D. Manning
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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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From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems
Mrinmaya Sachan
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Kumar Dubey
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Eric Xing
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RACE: Large-scale ReAding Comprehension Dataset From Examinations
Guokun Lai
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Qizhe Xie
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Hanxiao Liu
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Yiming Yang
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Eduard Hovy
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Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension
Hongyu Lin
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Le Sun
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Xianpei Han
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TVQA: Localized, Compositional Video Question Answering
Jie Lei
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Licheng Yu
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Mohit Bansal
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Tamara Berg
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emrQA: A Large Corpus for Question Answering on Electronic Medical Records
Anusri Pampari
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Preethi Raghavan
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Jennifer Liang
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Jian Peng
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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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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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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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Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks?
Shangmin Guo
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Xiangrong Zeng
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Shizhu He
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Kang Liu
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Jun Zhao
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Dialog state tracking, a machine reading approach using Memory Network
Julien Perez
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Fei Liu
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Learning and Knowledge Transfer with Memory Networks for Machine Comprehension
Mohit Yadav
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Lovekesh Vig
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Gautam Shroff
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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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An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks
Yelong Shen
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Xiaodong Liu
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Kevin Duh
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Jianfeng Gao
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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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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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A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories
Nasrin Mostafazadeh
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Nathanael Chambers
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Xiaodong He
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Devi Parikh
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Dhruv Batra
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Lucy Vanderwende
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Pushmeet Kohli
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James Allen
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Dynamic Entity Representation with Max-pooling Improves Machine Reading
Sosuke Kobayashi
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Ran Tian
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Naoaki Okazaki
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Kentaro Inui
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MAWPS: A Math Word Problem Repository
Rik Koncel-Kedziorski
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Subhro Roy
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Aida Amini
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Nate Kushman
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Hannaneh Hajishirzi
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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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CliCR: a Dataset of Clinical Case Reports for Machine Reading Comprehension
Simon Šuster
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Walter Daelemans
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Supervised and Unsupervised Transfer Learning for Question Answering
Yu-An Chung
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Hung-Yi Lee
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James Glass
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Crowdsourcing Question-Answer Meaning Representations
Julian Michael
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Gabriel Stanovsky
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Luheng He
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Ido Dagan
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Luke Zettlemoyer
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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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Machine Comprehension with Syntax, Frames, and Semantics
Hai Wang
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Mohit Bansal
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Kevin Gimpel
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David McAllester
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A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data
Adam Trischler
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Zheng Ye
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Xingdi Yuan
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Jing He
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Philip Bachman
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The LAMBADA dataset: Word prediction requiring a broad discourse context
Denis Paperno
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Germán Kruszewski
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Angeliki Lazaridou
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Ngoc Quan Pham
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Raffaella Bernardi
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Sandro Pezzelle
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Marco Baroni
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Gemma Boleda
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Raquel Fernández
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Learning To Use Formulas To Solve Simple Arithmetic Problems
Arindam Mitra
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Chitta Baral
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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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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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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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Semi-Supervised QA with Generative Domain-Adaptive Nets
Zhilin Yang
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Junjie Hu
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Ruslan Salakhutdinov
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William Cohen
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A Constituent-Centric Neural Architecture for Reading Comprehension
Pengtao Xie
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Eric Xing
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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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Stochastic Answer Networks for Machine Reading Comprehension
Xiaodong Liu
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Yelong Shen
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Kevin Duh
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Jianfeng Gao
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Efficient and Robust Question Answering from Minimal Context over Documents
Sewon Min
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Victor Zhong
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Richard Socher
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Caiming Xiong
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Think Visually: Question Answering through Virtual Imagery
Ankit Goyal
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Jian Wang
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Jia Deng
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Automatic Article Commenting: the Task and Dataset
Lianhui Qin
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Lemao Liu
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Wei Bi
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Yan Wang
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Xiaojiang Liu
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Zhiting Hu
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Hai Zhao
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Shuming Shi
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Know What You Don’t Know: Unanswerable Questions for SQuAD
Pranav Rajpurkar
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Robin Jia
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Percy Liang
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Reinforced Extractive Summarization with Question-Focused Rewards
Kristjan Arumae
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Fei Liu
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Understanding Satirical Articles Using Common-Sense
Dan Goldwasser
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Xiao Zhang
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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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Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks
Mrinmaya Sachan
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Eric Xing
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SemEval-2018 Task 5: Counting Events and Participants in the Long Tail
Marten Postma
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Filip Ilievski
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Piek Vossen
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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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Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension
Liang Wang
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Meng Sun
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Wei Zhao
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Kewei Shen
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Jingming Liu
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ECNU at SemEval-2018 Task 11: Using Deep Learning Method to Address Machine Comprehension Task
Yixuan Sheng
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Man Lan
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Yuanbin Wu
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CSReader at SemEval-2018 Task 11: Multiple Choice Question Answering as Textual Entailment
Zhengping Jiang
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Qi Sun
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YNU-HPCC at Semeval-2018 Task 11: Using an Attention-based CNN-LSTM for Machine Comprehension using Commonsense Knowledge
Hang Yuan
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Jin Wang
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Xuejie Zhang
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Fact Checking: Task definition and dataset construction
Andreas Vlachos
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Sebastian Riedel
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Attention-Based Convolutional Neural Network for Machine Comprehension
Wenpeng Yin
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Sebastian Ebert
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Hinrich Schütze
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Joint Learning of Sentence Embeddings for Relevance and Entailment
Petr Baudiš
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Silvestr Stanko
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Jan Šedivý
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Story Cloze Evaluator: Vector Space Representation Evaluation by Predicting What Happens Next
Nasrin Mostafazadeh
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Lucy Vanderwende
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Wen-tau Yih
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Pushmeet Kohli
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James Allen
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An Analysis of Prerequisite Skills for Reading Comprehension
Saku Sugawara
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Akiko Aizawa
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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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Modelling Protagonist Goals and Desires in First-Person Narrative
Elahe Rahimtoroghi
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Jiaqi Wu
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Ruimin Wang
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Pranav Anand
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Marilyn Walker
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Towards Inference-Oriented Reading Comprehension: ParallelQA
Soumya Wadhwa
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Varsha Embar
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Matthias Grabmair
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Eric Nyberg
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DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications
Wei He
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Kai Liu
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Jing Liu
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Yajuan Lyu
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Shiqi Zhao
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Xinyan Xiao
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Yuan Liu
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Yizhong Wang
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Hua Wu
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Qiaoqiao She
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Xuan Liu
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Tian Wu
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Haifeng Wang
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A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset
Michael Boratko
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Harshit Padigela
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Divyendra Mikkilineni
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Pritish Yuvraj
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Rajarshi Das
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Andrew McCallum
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Maria Chang
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Achille Fokoue-Nkoutche
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Pavan Kapanipathi
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Nicholas Mattei
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Ryan Musa
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Kartik Talamadupula
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Michael Witbrock
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Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task
An Yang
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Kai Liu
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Jing Liu
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Yajuan Lyu
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Sujian Li
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http://research.micro-
http://www.mturk.com
https://requester.mturk.com/tour
http://www.englishforeveryone.org/
http://research.microsoft.com/mct
http://research.micro-
http://xenia.media.mit.edu/~mueller/storyund/storyre
Field Of Study
Task
Semantic Parsing
Information Retrieval
Question Answering
Approach
Crowd Sourcing
Language
English
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