Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond

13 May 2020

Rui Wang

Papers citing "Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond"

50 / 165 papers shown

Title
Knowledgeable Dialogue Reading Comprehension on Key Turns Junlong Li Zhuosheng Zhang Hai Zhao 55 1 0 29 Apr 2020
Semantics-Aware Inferential Network for Natural Language Understanding Shuailiang Zhang Hai Zhao Junru Zhou LRM 48 4 0 28 Apr 2020
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization Canwen Xu Jiaxin Pei Hongtao Wu Yiyu Liu Chenliang Li MLLM VLM 47 14 0 26 Apr 2020
MPNet: Masked and Permuted Pre-training for Language Understanding Kaitao Song Xu Tan Tao Qin Jianfeng Lu Tie-Yan Liu 102 1,119 0 20 Apr 2020
From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap Shuyang Gao Sanchit Agarwal Tagyoung Chung Di Jin Dilek Z. Hakkani-Tür 95 71 0 13 Apr 2020
Is Graph Structure Necessary for Multi-hop Question Answering? Nan Shao Yiming Cui Ting Liu Shijin Wang Guoping Hu GNN 48 16 0 07 Apr 2020
Graph Sequential Network for Reasoning over Sequences Ming Tu Jing Huang Xiaodong He Bowen Zhou GNN 38 7 0 04 Apr 2020
Benchmarking Machine Reading Comprehension: A Psychological Perspective Saku Sugawara Pontus Stenetorp Akiko Aizawa 37 2 0 04 Apr 2020
A Framework for Evaluation of Machine Reading Comprehension Gold Standards Viktor Schlegel Marco Valentino André Freitas Goran Nenadic Riza Batista-Navarro 40 30 0 10 Mar 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers Wenhui Wang Furu Wei Li Dong Hangbo Bao Nan Yang Ming Zhou VLM 145 1,267 0 25 Feb 2020
REALM: Retrieval-Augmented Language Model Pre-Training Kelvin Guu Kenton Lee Zora Tung Panupong Pasupat Ming-Wei Chang RALM 132 2,102 0 10 Feb 2020
Retrospective Reader for Machine Reading Comprehension Zhuosheng Zhang Junjie Yang Hai Zhao RALM 72 227 0 27 Jan 2020
Explicit Sentence Compression for Neural Machine Translation Z. Li Rui Wang Kehai Chen Masao Utiyama Eiichiro Sumita Zhuosheng Zhang Hai Zhao 62 29 0 27 Dec 2019
Neural Module Networks for Reasoning over Text Nitish Gupta Kevin Lin Dan Roth Sameer Singh Matt Gardner NAI ReLM LRM 68 132 0 10 Dec 2019
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets Saku Sugawara Pontus Stenetorp Kentaro Inui Akiko Aizawa 38 86 0 21 Nov 2019
The TechQA Dataset Vittorio Castelli Rishav Chakravarti Saswati Dana Anthony Ferritto Radu Florian ... Andrzej Sakrajda Avirup Sil Rosario A. Uceda-Sosa T. Ward Rong Zhang 62 46 0 08 Nov 2019
Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents Ming Tu Kevin Huang Guangtao Wang Jing-ling Huang Xiaodong He Bowen Zhou RALM 70 145 0 01 Nov 2019
LIMIT-BERT : Linguistic Informed Multi-Task BERT Junru Zhou Zhuosheng Zhang Hai Zhao Shuailiang Zhang 60 37 0 31 Oct 2019
Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering Kaixin Ma Jonathan M Francis Quanyang Lu Eric Nyberg A. Oltramari NAI 56 90 0 30 Oct 2019
A Unified MRC Framework for Named Entity Recognition Xiaoya Li Jingrong Feng Yuxian Meng Qinghong Han Leilei Gan Jiwei Li 75 637 0 25 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 419 20,181 0 23 Oct 2019
MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension Adam Fisch Alon Talmor Robin Jia Minjoon Seo Eunsol Choi Danqi Chen 68 306 0 22 Oct 2019
NumNet: Machine Reading Comprehension with Numerical Reasoning Qiu Ran Yankai Lin Peng Li Jie Zhou Zhiyuan Liu ReLM AIMat 52 117 0 15 Oct 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 232 7,504 0 02 Oct 2019
MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension Di Jin Shuyang Gao Jiun-Yu Kao Tagyoung Chung Dilek Z. Hakkani-Tür 71 69 0 01 Oct 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Zhenzhong Lan Mingda Chen Sebastian Goodman Kevin Gimpel Piyush Sharma Radu Soricut SSL AIMat 366 6,455 0 26 Sep 2019
Question Answering is a Format; When is it Useful? Matt Gardner Jonathan Berant Hannaneh Hajishirzi Alon Talmor Sewon Min 54 52 0 25 Sep 2019
TinyBERT: Distilling BERT for Natural Language Understanding Xiaoqi Jiao Yichun Yin Lifeng Shang Xin Jiang Xiao Chen Linlin Li F. Wang Qun Liu VLM 105 1,860 0 23 Sep 2019
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism Mohammad Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 326 1,904 0 17 Sep 2019
PubMedQA: A Dataset for Biomedical Research Question Answering Qiao Jin Bhuwan Dhingra Zhengping Liu William W. Cohen Xinghua Lu 376 896 0 13 Sep 2019
Frustratingly Easy Natural Question Answering Lin Pan Rishav Chakravarti Anthony Ferritto Michael R. Glass A. Gliozzo Salim Roukos Radu Florian Avirup Sil 50 14 0 11 Sep 2019
Semantics-aware BERT for Language Understanding Zhuosheng Zhang Yuwei Wu Zhao Hai Z. Li Shuailiang Zhang Xi Zhou Xiang Zhou 45 367 0 05 Sep 2019
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning Bill Yuchen Lin Xinyue Chen Jamin Chen Xiang Ren 70 463 0 04 Sep 2019
Cross-Lingual Machine Reading Comprehension Yiming Cui Wanxiang Che Ting Liu Bing Qin Shijin Wang Guoping Hu 37 48 0 01 Sep 2019
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning Lifu Huang Ronan Le Bras Chandra Bhagavatula Yejin Choi AIMat RALM LRM 112 454 0 31 Aug 2019
Adversarial Domain Adaptation for Machine Reading Comprehension Huazheng Wang Zhe Gan Xiaodong Liu Jingjing Liu Jianfeng Gao Hongning Wang 48 65 0 24 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 73 173 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 59 91 0 15 Aug 2019
XCMRC: Evaluating Cross-lingual Machine Reading Comprehension Pengyuan Liu Yuning Deng Chenghao Zhu Han Hu ELM 36 9 0 15 Aug 2019
SG-Net: Syntax-Guided Machine Reading Comprehension Zhuosheng Zhang Yuwei Wu Junru Zhou Sufeng Duan Hai Zhao Rui Wang 66 188 0 14 Aug 2019
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding Wei Wang Bin Bi Ming Yan Chen Henry Wu Zuyi Bao Jiangnan Xia Liwei Peng Luo Si 56 262 0 13 Aug 2019
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks Jiasen Lu Dhruv Batra Devi Parikh Stefan Lee SSL VLM 226 3,684 0 06 Aug 2019
Dialog State Tracking: A Neural Reading Comprehension Approach Shuyang Gao Abhishek Sethi Sanchit Agarwal Tagyoung Chung Dilek Z. Hakkani-Tür 50 161 0 06 Aug 2019
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension Yu Chen Lingfei Wu Mohammed J Zaki 61 76 0 31 Jul 2019
What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models Allyson Ettinger 83 606 0 31 Jul 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 653 24,464 0 26 Jul 2019
SpanBERT: Improving Pre-training by Representing and Predicting Spans Mandar Joshi Danqi Chen Yinhan Liu Daniel S. Weld Luke Zettlemoyer Omer Levy 145 1,965 0 24 Jul 2019
Machine Reading Comprehension: a Literature Review Xin Zhang An Yang Sujian Li Yizhong Wang 58 33 0 30 Jun 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding Zhilin Yang Zihang Dai Yiming Yang J. Carbonell Ruslan Salakhutdinov Quoc V. Le AI4CE 230 8,433 0 19 Jun 2019
Learning to Ask Unanswerable Questions for Machine Reading Comprehension Haichao Zhu Li Dong Furu Wei Wenhui Wang Bing Qin Ting Liu RALM 44 31 0 14 Jun 2019