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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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Paper Details:
Month: July
Year: 2018
Location: Melbourne, Australia
Venue:
ACL |
Citations
URL
No Citations Yet
https://github.com/QAML/
http://www.kelp-ml.org
http://www.qatarliving.com/betasearch
http://cqa.iyas.qcri.org/
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Syntactic Parsing
Question Answering
Machine Translation
Approach
Topic Modeling
Deep Learning
Kernel Method
Language
Multilingual
English
Arabic
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