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Using Centroids of Word Embeddings and Word Mover’s Distance for Biomedical Document Retrieval in Question Answering
Georgios-Ioannis Brokos
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Prodromos Malakasiotis
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Ion Androutsopoulos
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
BioNLP |
WS |
SIG: SIGBIOMED
Citations
URL
Hyperspherical Query Likelihood Models with Word Embeddings
Ryo Masumura
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Taichi Asami
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Hirokazu Masataki
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Kugatsu Sadamitsu
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Kyosuke Nishida
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Ryuichiro Higashinaka
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Adapting Pre-trained Word Embeddings For Use In Medical Coding
Kevin Patel
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Divya Patel
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Mansi Golakiya
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Pushpak Bhattacharyya
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Nilesh Birari
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http://nlp.cs.aueb.gr
http://www.ilsp.gr
http://www.ncbi.nlm.nih.gov/pubmed
http://www.nlm.nih.gov/
http://www.gopubmed.com/
http://participants-area.bioasq
http://participants-area.bioasq.org/
https://www.nlm
https://github.com/spotify/
Field Of Study
Linguistic Trends
Embeddings
Ontologies
Task
Information Retrieval
Question Answering
Biomedical
Language
English
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