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Higher-order Lexical Semantic Models for Non-factoid Answer Reranking
Daniel Fried
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Peter Jansen
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Gustave Hahn-Powell
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Mihai Surdeanu
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Peter Clark
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Paper Details:
Year: 2015
Venue:
TACL |
Citations
URL
What’s in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams
Peter Jansen
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Niranjan Balasubramanian
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Mihai Surdeanu
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Peter Clark
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If You Can’t Beat Them Join Them: Handcrafted Features Complement Neural Nets for Non-Factoid Answer Reranking
Dasha Bogdanova
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Jennifer Foster
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Daria Dzendzik
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Qun Liu
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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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This is how we do it: Answer Reranking for Open-domain How Questions with Paragraph Vectors and Minimal Feature Engineering
Dasha Bogdanova
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Jennifer Foster
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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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Multi-hop Inference for Sentence-level TextGraphs: How Challenging is Meaningfully Combining Information for Science Question Answering?
Peter Jansen
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http://answers.yahoo.com
http://www.cs.cornell.edu/people/tj/
http://nlp.sista.arizona.edu/
http://answers.yahoo.com
Field Of Study
Linguistic Trends
Discourse
Lexical Semantics
Embeddings
Syntax
Task
Semantic Similarity
Information Retrieval
Question Answering
Approach
Topic Modeling
Language
English
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