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Tables as Semi-structured Knowledge for Question Answering
Sujay Kumar Jauhar
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Peter Turney
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Eduard Hovy
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
ACL |
Citations
URL
A Neural Question Answering Model Based on Semi-Structured Tables
Hao Wang
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Xiaodong Zhang
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Shuming Ma
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Xu Sun
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Houfeng Wang
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Mengxiang Wang
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Cross Sentence Inference for Process Knowledge
Samuel Louvan
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Chetan Naik
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Sadhana Kumaravel
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Heeyoung Kwon
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Niranjan Balasubramanian
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Peter Clark
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What It Takes to Achieve 100% Condition Accuracy on WikiSQL
Semih Yavuz
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Izzeddin Gur
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Yu Su
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Xifeng Yan
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WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-hop Inference
Peter Jansen
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Elizabeth Wainwright
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Steven Marmorstein
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Clayton Morrison
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Multi-hop Inference for Sentence-level TextGraphs: How Challenging is Meaningfully Combining Information for Science Question Answering?
Peter Jansen
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https://www.kaggle.com/c/
http://allenai.org/content/data/
http://allenai.org/content/data/
http://ai2-website.s3.amazonaws.com/
http://aristo-public-data.s3
Field Of Study
Linguistic Trends
Ontologies
Task
Textual Entailment
Information Extraction
Information Retrieval
Question Answering
Language
English
Dataset
News
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