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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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Paper Details:
Month: November
Year: 2016
Location: Austin, Texas
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Learning to Search in Long Documents Using Document Structure
Mor Geva
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Jonathan Berant
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One-shot Learning for Question-Answering in Gaokao History Challenge
Zhuosheng Zhang
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Hai Zhao
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Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy
Deepak Gupta
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Rajkumar Pujari
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Asif Ekbal
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Pushpak Bhattacharyya
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Anutosh Maitra
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Tom Jain
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Shubhashis Sengupta
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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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Variational Attention for Sequence-to-Sequence Models
Hareesh Bahuleyan
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Lili Mou
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Olga Vechtomova
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Pascal Poupart
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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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A Review on Deep Learning Techniques Applied to Answer Selection
Tuan Manh Lai
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Trung Bui
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Sheng Li
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Rethinking the Agreement in Human Evaluation Tasks
Jacopo Amidei
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Paul Piwek
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Alistair Willis
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Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering
Wuwei Lan
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Wei Xu
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Structural Embedding of Syntactic Trees for Machine Comprehension
Rui Liu
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Junjie Hu
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Wei Wei
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Zi Yang
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Eric Nyberg
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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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Question Generation for Question Answering
Nan Duan
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Duyu Tang
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Peng Chen
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Ming Zhou
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Accurate Supervised and Semi-Supervised Machine Reading for Long Documents
Daniel Hewlett
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Llion Jones
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Alexandre Lacoste
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Izzeddin Gur
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Adversarial Examples for Evaluating Reading Comprehension Systems
Robin Jia
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Percy Liang
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Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension
Yichun Yin
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Yangqiu Song
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Ming Zhang
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Identifying Where to Focus in Reading Comprehension for Neural Question Generation
Xinya Du
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Claire Cardie
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Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension
Minjoon Seo
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Tom Kwiatkowski
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Ankur Parikh
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Ali Farhadi
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Hannaneh Hajishirzi
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Cut to the Chase: A Context Zoom-in Network for Reading Comprehension
Sathish Reddy Indurthi
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Seunghak Yu
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Seohyun Back
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Heriberto Cuayáhuitl
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Identifying Well-formed Natural Language Questions
Manaal Faruqui
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Dipanjan Das
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A dataset and baselines for sequential open-domain question answering
Ahmed Elgohary
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Chen Zhao
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Jordan Boyd-Graber
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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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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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Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models
Mohammad Taher Pilehvar
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Dimitri Kartsaklis
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Victor Prokhorov
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Nigel Collier
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Picking Apart Story Salads
Su Wang
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Eric Holgate
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Greg Durrett
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Katrin Erk
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Structured Alignment Networks for Matching Sentences
Yang Liu
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Matt Gardner
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Mirella Lapata
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Interpretation of Natural Language Rules in Conversational Machine Reading
Marzieh Saeidi
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Max Bartolo
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Patrick Lewis
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Sameer Singh
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Tim Rocktäschel
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Mike Sheldon
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Guillaume Bouchard
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Sebastian Riedel
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A Multi-answer Multi-task Framework for Real-world Machine Reading Comprehension
Jiahua Liu
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Wan Wei
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Maosong Sun
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Hao Chen
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Yantao Du
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Dekang Lin
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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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QuAC: Question Answering in Context
Eunsol Choi
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He He
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Mohit Iyyer
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Mark Yatskar
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Wen-tau Yih
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Yejin Choi
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Percy Liang
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Luke Zettlemoyer
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Towards Exploiting Background Knowledge for Building Conversation Systems
Nikita Moghe
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Siddhartha Arora
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Suman Banerjee
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Mitesh M. Khapra
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HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Zhilin Yang
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Peng Qi
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Saizheng Zhang
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Yoshua Bengio
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William Cohen
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Ruslan Salakhutdinov
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Christopher D. Manning
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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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Pathologies of Neural Models Make Interpretations Difficult
Shi Feng
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Eric Wallace
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Alvin Grissom II
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Mohit Iyyer
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Pedro Rodriguez
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Jordan Boyd-Graber
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Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks
Yao Zhao
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Xiaochuan Ni
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Yuanyuan Ding
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Qifa Ke
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Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
Tao Yu
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Rui Zhang
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Kai Yang
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Michihiro Yasunaga
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Dongxu Wang
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Zifan Li
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James Ma
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Irene Li
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Qingning Yao
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Shanelle Roman
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Zilin Zhang
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Dragomir Radev
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Towards a Better Metric for Evaluating Question Generation Systems
Preksha Nema
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Mitesh M. Khapra
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Closed-Book Training to Improve Summarization Encoder Memory
Yichen Jiang
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Mohit Bansal
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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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Commonsense for Generative Multi-Hop Question Answering Tasks
Lisa Bauer
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Yicheng Wang
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Mohit Bansal
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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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Simple Recurrent Units for Highly Parallelizable Recurrence
Tao Lei
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Yu Zhang
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Sida I. Wang
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Hui Dai
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Yoav Artzi
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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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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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Zero-Shot Relation Extraction via Reading Comprehension
Omer Levy
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Minjoon Seo
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Eunsol Choi
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Luke Zettlemoyer
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Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
Pasquale Minervini
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Sebastian Riedel
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Comparing Attention-Based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension
Matthias Blohm
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Glorianna Jagfeld
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Ekta Sood
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Xiang Yu
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Ngoc Thang Vu
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Uncovering Code-Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural Based Question Answering
Deepak Gupta
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Pabitra Lenka
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Asif Ekbal
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Pushpak Bhattacharyya
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HappyDB: A Corpus of 100,000 Crowdsourced Happy Moments
Akari Asai
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Sara Evensen
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Behzad Golshan
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Alon Halevy
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Vivian Li
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Andrei Lopatenko
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Daniela Stepanov
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Yoshihiko Suhara
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Wang-Chiew Tan
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Yinzhan Xu
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Dataset for the First Evaluation on Chinese Machine Reading Comprehension
Yiming Cui
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Ting Liu
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Zhipeng Chen
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Wentao Ma
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Shijin Wang
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Guoping Hu
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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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MMQA: A Multi-domain Multi-lingual Question-Answering Framework for English and Hindi
Deepak Gupta
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Surabhi Kumari
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Asif Ekbal
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Pushpak Bhattacharyya
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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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FEVER: a Large-scale Dataset for Fact Extraction and VERification
James Thorne
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Andreas Vlachos
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Christos Christodoulopoulos
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Arpit Mittal
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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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Learning to Collaborate for Question Answering and Asking
Duyu Tang
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Nan Duan
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Zhao Yan
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Zhirui Zhang
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Yibo Sun
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Shujie Liu
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Yuanhua Lv
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Ming Zhou
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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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Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension
Bhavana Dalvi
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Lifu Huang
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Niket Tandon
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Wen-tau Yih
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Peter Clark
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The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants
Ivan Habernal
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Henning Wachsmuth
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Iryna Gurevych
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Benno Stein
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Challenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog
Kaixin Ma
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Tomasz Jurczyk
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Jinho D. Choi
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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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Integrating Stance Detection and Fact Checking in a Unified Corpus
Ramy Baly
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Mitra Mohtarami
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James Glass
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Lluís Màrquez
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Alessandro Moschitti
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Preslav Nakov
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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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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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Contextualized Word Representations for Reading Comprehension
Shimi Salant
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Jonathan Berant
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Leveraging Context Information for Natural Question Generation
Linfeng Song
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Zhiguo Wang
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Wael Hamza
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Yue Zhang
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Daniel Gildea
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Robust Machine Comprehension Models via Adversarial Training
Yicheng Wang
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Mohit Bansal
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Simple and Effective Semi-Supervised Question Answering
Bhuwan Dhingra
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Danish Danish
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Dheeraj Rajagopal
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Multi-Reward Reinforced Summarization with Saliency and Entailment
Ramakanth Pasunuru
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Mohit Bansal
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Training a Ranking Function for Open-Domain Question Answering
Phu Mon Htut
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Samuel Bowman
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Kyunghyun Cho
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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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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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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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Learning to Ask: Neural Question Generation for Reading Comprehension
Xinya Du
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Junru Shao
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Claire Cardie
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TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
Mandar Joshi
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Eunsol Choi
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Daniel Weld
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Luke Zettlemoyer
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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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Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks
Rajarshi Das
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Manzil Zaheer
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Siva Reddy
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Andrew McCallum
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Question Answering through Transfer Learning from Large Fine-grained Supervision Data
Sewon Min
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Minjoon Seo
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Hannaneh Hajishirzi
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Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation
Han Guo
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Ramakanth Pasunuru
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Mohit Bansal
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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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Semantically Equivalent Adversarial Rules for Debugging NLP models
Marco Tulio Ribeiro
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Sameer Singh
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Carlos Guestrin
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Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension
Zhen Wang
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Jiachen Liu
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Xinyan Xiao
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Yajuan Lyu
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Tian Wu
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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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Did the Model Understand the Question?
Pramod Kaushik Mudrakarta
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Ankur Taly
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Mukund Sundararajan
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Kedar Dhamdhere
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Harvesting Paragraph-level Question-Answer Pairs from Wikipedia
Xinya Du
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Claire Cardie
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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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Document Modeling with External Attention for Sentence Extraction
Shashi Narayan
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Ronald Cardenas
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Nikos Papasarantopoulos
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Shay B. Cohen
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Mirella Lapata
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Jiangsheng Yu
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Yi Chang
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AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples
Dongyeop Kang
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Tushar Khot
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Ashish Sabharwal
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Eduard Hovy
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CNN for Text-Based Multiple Choice Question Answering
Akshay Chaturvedi
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Onkar Pandit
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Utpal Garain
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Injecting Relational Structural Representation in Neural Networks for Question Similarity
Antonio Uva
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Daniele Bonadiman
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Alessandro Moschitti
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Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum
Omer Levy
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Kenton Lee
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Nicholas FitzGerald
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Luke Zettlemoyer
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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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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 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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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-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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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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Crowdsourcing Multiple Choice Science Questions
Johannes Welbl
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Nelson F. Liu
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Matt Gardner
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A Semantic Role-based Approach to Open-Domain Automatic Question Generation
Michael Flor
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Brian Riordan
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BioAMA: Towards an End to End BioMedical Question Answering System
Vasu Sharma
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Nitish Kulkarni
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Srividya Pranavi
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Gabriel Bayomi
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Eric Nyberg
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Teruko Mitamura
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AllenNLP: A Deep Semantic Natural Language Processing Platform
Matt Gardner
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Joel Grus
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Mark Neumann
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Oyvind Tafjord
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Pradeep Dasigi
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Nelson F. Liu
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Matthew Peters
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Michael Schmitz
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Luke Zettlemoyer
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Systematic Error Analysis of the Stanford Question Answering Dataset
Marc-Antoine Rondeau
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T. J. Hazen
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A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension
Seunghak Yu
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Sathish Reddy Indurthi
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Seohyun Back
|
Haejun Lee
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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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Comparative Analysis of Neural QA models on SQuAD
Soumya Wadhwa
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Khyathi Chandu
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Eric Nyberg
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Code-Mixed Question Answering Challenge: Crowd-sourcing Data and Techniques
Khyathi Chandu
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Ekaterina Loginova
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Vishal Gupta
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Josef van Genabith
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Günter Neumann
|
Manoj Chinnakotla
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Eric Nyberg
|
Alan W. Black
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Transliteration Better than Translation? Answering Code-mixed Questions over a Knowledge Base
Vishal Gupta
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Manoj Chinnakotla
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Manish Shrivastava
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How much should you ask? On the question structure in QA systems.
Barbara Rychalska
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Dominika Basaj
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Anna Wróblewska
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Przemyslaw Biecek
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Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System
Barbara Rychalska
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Dominika Basaj
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Anna Wróblewska
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Przemyslaw Biecek
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GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Wang
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Amanpreet Singh
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Julian Michael
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Felix Hill
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Omer Levy
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Samuel Bowman
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Teaching Syntax by Adversarial Distraction
Juho Kim
|
Christopher Malon
|
Asim Kadav
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Automatic Opinion Question Generation
Yllias Chali
|
Tina Baghaee
|
https://stanford-qa.com
https://stanford-qa.com
https://worksheets.codalab.org/worksheets/
Field Of Study
Linguistic Trends
Discourse
Task
Syntactic Parsing
Question Answering
Language
English
Dataset
News
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