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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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Paper Details:
Month: August
Year: 2017
Location: Vancouver, Canada
Venue:
CoNLL |
SIG: SIGNLL
Citations
URL
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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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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Contextualized Word Representations for Reading Comprehension
Shimi Salant
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Jonathan Berant
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The price of debiasing automatic metrics in natural language evalaution
Arun Chaganty
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Stephen Mussmann
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Percy Liang
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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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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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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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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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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
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Haejun Lee
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UNCC QA: Biomedical Question Answering system
Abhishek Bhandwaldar
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Wlodek Zadrozny
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https://rajpurkar.github.io/
https://datasets.maluuba.com/NewsQA/
http://spacy.io
Field Of Study
Linguistic Trends
Embeddings
Task
Information Retrieval
Question Answering
Language
English
Dataset
News
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