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ECNU at SemEval-2016 Task 3: Exploring Traditional Method and Deep Learning Method for Question Retrieval and Answer Ranking in Community Question Answering
Guoshun Wu
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Man Lan
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
*SEMEVAL |
Citations
URL
MappSent: a Textual Mapping Approach for Question-to-Question Similarity
Amir Hazem
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Basma El Amel Boussaha
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Nicolas Hernandez
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SemEval-2016 Task 3: Community Question Answering
Preslav Nakov
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Lluís Màrquez
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Alessandro Moschitti
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Walid Magdy
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Hamdy Mubarak
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Abed Alhakim Freihat
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Jim Glass
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Bilal Randeree
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EICA Team at SemEval-2017 Task 3: Semantic and Metadata-based Features for Community Question Answering
Yufei Xie
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Maoquan Wang
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Jing Ma
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Jian Jiang
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Zhao Lu
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bunji at SemEval-2017 Task 3: Combination of Neural Similarity Features and Comment Plausibility Features
Yuta Koreeda
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Takuya Hashito
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Yoshiki Niwa
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Misa Sato
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Toshihiko Yanase
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Kenzo Kurotsuchi
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Kohsuke Yanai
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ECNU at SemEval-2017 Task 3: Using Traditional and Deep Learning Methods to Address Community Question Answering Task
Guoshun Wu
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Yixuan Sheng
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Man Lan
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Yuanbin Wu
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UINSUSKA-TiTech at SemEval-2017 Task 3: Exploiting Word Importance Levels for Similarity Features for CQA
Surya Agustian
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Hiroya Takamura
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http://www.statmt.org/moses/giza/GIZA++.html
http://alt.qcri.org/semeval2015/task3/index.php?id=data-
http://www.nltk.org/
http://scikit-learn.org/stable/
https://lucene.apache.org/
Field Of Study
Linguistic Trends
Embeddings
Task
Semantic Similarity
Question Answering
Machine Translation
Approach
Deep Learning
Language
English
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