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Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts
Jong-Hoon Oh
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Kazuma Kadowaki
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Julien Kloetzer
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Ryu Iida
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Kentaro Torisawa
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Paper Details:
Month: July
Year: 2019
Location: Florence, Italy
Venue:
ACL |
Citations
URL
No Citations Yet
http://taku910.github.io/mecab/
https://github.com/thunlp/OpenQA
Field Of Study
Linguistic Trends
Embeddings
Task
Sentiment Analysis
Question Answering
Approach
Generative Model
Representation Learning
Semi-supervised Learning
Language
Multilingual
Japanese
Dataset
Web Crawl