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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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Paper Details:
Month: July
Year: 2017
Location: Vancouver, Canada
Venue:
ACL |
Citations
URL
One-shot Learning for Question-Answering in Gaokao History Challenge
Zhuosheng Zhang
|
Hai Zhao
|
Subword-augmented Embedding for Cloze Reading Comprehension
Zhuosheng Zhang
|
Yafang Huang
|
Hai Zhao
|
Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention Model
Lu Ji
|
Zhongyu Wei
|
Xiangkun Hu
|
Yang Liu
|
Qi Zhang
|
Xuanjing Huang
|
Modeling Multi-turn Conversation with Deep Utterance Aggregation
Zhuosheng Zhang
|
Jiangtong Li
|
Pengfei Zhu
|
Hai Zhao
|
Gongshen Liu
|
Lingke: a Fine-grained Multi-turn Chatbot for Customer Service
Pengfei Zhu
|
Zhuosheng Zhang
|
Jiangtong Li
|
Yafang Huang
|
Hai Zhao
|
Globally Normalized Reader
Jonathan Raiman
|
John Miller
|
Cut to the Chase: A Context Zoom-in Network for Reading Comprehension
Sathish Reddy Indurthi
|
Seunghak Yu
|
Seohyun Back
|
Heriberto Cuayáhuitl
|
Toward Fast and Accurate Neural Discourse Segmentation
Yizhong Wang
|
Sujian Li
|
Jingfeng Yang
|
Structured Alignment Networks for Matching Sentences
Yang Liu
|
Matt Gardner
|
Mirella Lapata
|
A Multi-answer Multi-task Framework for Real-world Machine Reading Comprehension
Jiahua Liu
|
Wan Wei
|
Maosong Sun
|
Hao Chen
|
Yantao Du
|
Dekang Lin
|
MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller
Seohyun Back
|
Seunghak Yu
|
Sathish Reddy Indurthi
|
Jihie Kim
|
Jaegul Choo
|
Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension
Yi Tay
|
Anh Tuan Luu
|
Siu Cheung Hui
|
Towards Exploiting Background Knowledge for Building Conversation Systems
Nikita Moghe
|
Siddhartha Arora
|
Suman Banerjee
|
Mitesh M. Khapra
|
Large-scale Cloze Test Dataset Created by Teachers
Qizhe Xie
|
Guokun Lai
|
Zihang Dai
|
Eduard Hovy
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HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Zhilin Yang
|
Peng Qi
|
Saizheng Zhang
|
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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Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks
Yao Zhao
|
Xiaochuan Ni
|
Yuanyuan Ding
|
Qifa Ke
|
A Nil-Aware Answer Extraction Framework for Question Answering
Souvik Kundu
|
Hwee Tou Ng
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Simple Recurrent Units for Highly Parallelizable Recurrence
Tao Lei
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Yu Zhang
|
Sida I. Wang
|
Hui Dai
|
Yoav Artzi
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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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The Web as a Knowledge-Base for Answering Complex Questions
Alon Talmor
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Jonathan Berant
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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
|
Luke Zettlemoyer
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Contextualized Word Representations for Reading Comprehension
Shimi Salant
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Jonathan Berant
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Read and Comprehend by Gated-Attention Reader with More Belief
Haohui Deng
|
Yik-Cheung Tam
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Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge
Todor Mihaylov
|
Anette Frank
|
Simple and Effective Multi-Paragraph Reading Comprehension
Christopher Clark
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Matt Gardner
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Stochastic Answer Networks for Machine Reading Comprehension
Xiaodong Liu
|
Yelong Shen
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Kevin Duh
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Jianfeng Gao
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Multi-Granularity Hierarchical Attention Fusion Networks for Reading Comprehension and Question Answering
Wei Wang
|
Ming Yan
|
Chen Wu
|
Denoising Distantly Supervised Open-Domain Question Answering
Yankai Lin
|
Haozhe Ji
|
Zhiyuan Liu
|
Maosong Sun
|
Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification
Yizhong Wang
|
Kai Liu
|
Jing Liu
|
Wei He
|
Yajuan Lyu
|
Hua Wu
|
Sujian Li
|
Haifeng Wang
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Document Modeling with External Attention for Sentence Extraction
Shashi Narayan
|
Ronald Cardenas
|
Nikos Papasarantopoulos
|
Shay B. Cohen
|
Mirella Lapata
|
Jiangsheng Yu
|
Yi Chang
|
Know What You Don’t Know: Unanswerable Questions for SQuAD
Pranav Rajpurkar
|
Robin Jia
|
Percy Liang
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The NarrativeQA Reading Comprehension Challenge
Tomáš Kočiský
|
Jonathan Schwarz
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Phil Blunsom
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Chris Dyer
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Karl Moritz Hermann
|
Gábor Melis
|
Edward Grefenstette
|
Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms
Wenpeng Yin
|
Hinrich Schütze
|
Jiangnan at SemEval-2018 Task 11: Deep Neural Network with Attention Method for Machine Comprehension Task
Jiangnan Xia
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Towards Inference-Oriented Reading Comprehension: ParallelQA
Soumya Wadhwa
|
Varsha Embar
|
Matthias Grabmair
|
Eric Nyberg
|
A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension
Seunghak Yu
|
Sathish Reddy Indurthi
|
Seohyun Back
|
Haejun Lee
|
DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications
Wei He
|
Kai Liu
|
Jing Liu
|
Yajuan Lyu
|
Shiqi Zhao
|
Xinyan Xiao
|
Yuan Liu
|
Yizhong Wang
|
Hua Wu
|
Qiaoqiao She
|
Xuan Liu
|
Tian Wu
|
Haifeng Wang
|
Comparative Analysis of Neural QA models on SQuAD
Soumya Wadhwa
|
Khyathi Chandu
|
Eric Nyberg
|
Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task
An Yang
|
Kai Liu
|
Jing Liu
|
Yajuan Lyu
|
Sujian Li
|
Comparative Studies of Detecting Abusive Language on Twitter
Younghun Lee
|
Seunghyun Yoon
|
Kyomin Jung
|
https://doi.org/10.18653/v1/P17-1018
https://doi.org/10.18653/v1/P17-1018
http://nlp.stanford.edu/
http://stanford-qa.com
Field Of Study
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Question Answering
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