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UH-PRHLT at SemEval-2016 Task 3: Combining Lexical and Semantic-based Features for Community Question Answering
Marc Franco-Salvador
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Sudipta Kar
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Thamar Solorio
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Paolo Rosso
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
*SEMEVAL |
Citations
URL
Neural Attention for Learning to Rank Questions in Community Question Answering
Salvatore Romeo
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Giovanni Da San Martino
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Alberto Barrón-Cedeño
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Alessandro Moschitti
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Yonatan Belinkov
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Wei-Ning Hsu
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Yu Zhang
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Mitra Mohtarami
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James Glass
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Selecting Sentences versus Selecting Tree Constituents for Automatic Question Ranking
Alberto Barrón-Cedeño
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Giovanni Da San Martino
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Salvatore Romeo
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Alessandro Moschitti
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A strong baseline for question relevancy ranking
Ana Gonzalez
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Isabelle Augenstein
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Anders Søgaard
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A Multi-Domain Framework for Textual Similarity. A Case Study on Question-to-Question and Question-Answering Similarity Tasks
Amir Hazem
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Basma El Amal Boussaha
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Nicolas Hernandez
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A Flexible, Efficient and Accurate Framework for Community Question Answering Pipelines
Salvatore Romeo
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Giovanni Da San Martino
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Alberto Barrón-Cedeño
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Alessandro Moschitti
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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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SimBow at SemEval-2017 Task 3: Soft-Cosine Semantic Similarity between Questions for Community Question Answering
Delphine Charlet
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Géraldine Damnati
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NLM_NIH at SemEval-2017 Task 3: from Question Entailment to Question Similarity for Community Question Answering
Asma Ben Abacha
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Dina Demner-Fushman
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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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https://code.google.com/archive/p/word2vec/
http://nlp.stanford.edu/projects/glove/
http://www.nltk.org/
Field Of Study
Task
Question Answering
Language
Multilingual
English
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