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DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

1 March 2019

Gabriel Stanovsky

Papers citing "DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs"

26 / 376 papers shown

Title
Neural Module Networks for Reasoning over Text Nitish Gupta Kevin Lin Dan Roth Sameer Singh Matt Gardner NAI ReLM LRM 109 132 0 10 Dec 2019
An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering Shayne Longpre Yi Lu Zhucheng Tu Christopher DuBois 71 70 0 04 Dec 2019
Unsupervised Domain Adaptation on Reading Comprehension Yu Cao Meng Fang B. Yu Qiufeng Wang SSL 120 39 0 13 Nov 2019
Ask to Learn: A Study on Curiosity-driven Question Generation Thomas Scialom Jacopo Staiano 81 24 0 08 Nov 2019
What Question Answering can Learn from Trivia Nerds Jordan L. Boyd-Graber Benjamin Borschinger 80 37 0 31 Oct 2019
QASC: A Dataset for Question Answering via Sentence Composition Tushar Khot Peter Clark Michal Guerquin Peter Alexander Jansen Ashish Sabharwal CoGe 99 330 0 25 Oct 2019
MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension Adam Fisch Alon Talmor Robin Jia Minjoon Seo Eunsol Choi Danqi Chen 101 309 0 22 Oct 2019
Domain-agnostic Question-Answering with Adversarial Training Seanie Lee Donggyu Kim Jangwon Park OOD 53 72 0 21 Oct 2019
NumNet: Machine Reading Comprehension with Numerical Reasoning Qiu Ran Yankai Lin Peng Li Jie Zhou Zhiyuan Liu ReLM AIMat 84 117 0 15 Oct 2019
Multi-hop Question Answering via Reasoning Chains Jifan Chen Shih-Ting Lin Greg Durrett ReLM LRM 85 74 0 07 Oct 2019
A Simple and Effective Model for Answering Multi-span Questions Elad Segal Avia Efrat Mor Shoham Amir Globerson Jonathan Berant KELM 103 30 0 29 Sep 2019
Question Answering is a Format; When is it Useful? Matt Gardner Jonathan Berant Hannaneh Hajishirzi Alon Talmor Sewon Min 63 52 0 25 Sep 2019
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models Eric Wallace Jens Tuyls Junlin Wang Sanjay Subramanian Matt Gardner Sameer Singh MILM 85 138 0 19 Sep 2019
Do NLP Models Know Numbers? Probing Numeracy in Embeddings Eric Wallace Yizhong Wang Sujian Li Sameer Singh Matt Gardner 102 266 0 17 Sep 2019
A Discrete Hard EM Approach for Weakly Supervised Question Answering Sewon Min Danqi Chen Hannaneh Hajishirzi Luke Zettlemoyer 97 163 0 11 Sep 2019
Abductive Reasoning as Self-Supervision for Common Sense Question Answering Sathyanarayanan N. Aakur Sudeep Sarkar LRM SSL OOD 58 4 0 06 Sep 2019
Let's Ask Again: Refine Network for Automatic Question Generation Preksha Nema Akash Kumar Mohankumar Mitesh M. Khapra Balaji Vasan Srinivasan Balaraman Ravindran 71 51 0 31 Aug 2019
Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension D. Andor Luheng He Kenton Lee Emily Pitler AIMat 95 98 0 31 Aug 2019
Movie Plot Analysis via Turning Point Identification Pinelopi Papalampidi Frank Keller Mirella Lapata 63 63 0 27 Aug 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 363 326 0 21 Aug 2019
Reasoning Over Paragraph Effects in Situations Kevin Lin Oyvind Tafjord Peter Clark Matt Gardner 111 115 0 16 Aug 2019
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning Pradeep Dasigi Nelson F. Liu Ana Marasović Noah A. Smith Matt Gardner RALM 84 174 0 16 Aug 2019
A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning Minghao Hu Yuxing Peng Zhen Huang Dongsheng Li AIMat LRM 102 91 0 15 Aug 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt Basel Alomair OODD 324 1,487 0 16 Jul 2019
MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension Alon Talmor Jonathan Berant 108 173 0 31 May 2019
Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches Shane Storks Qiaozi Gao J. Chai 102 132 0 02 Apr 2019