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Disease Mention Recognition with Specific Features
Md. Faisal Mahbub Chowdhury
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Alberto Lavelli
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Paper Details:
Month: July
Year: 2010
Location: Uppsala, Sweden
Venue:
WS |
Citations
URL
Exploiting the Scope of Negations and Heterogeneous Features for Relation Extraction: A Case Study for Drug-Drug Interaction Extraction
Md. Faisal Mahbub Chowdhury
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Alberto Lavelli
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Recurrent neural network models for disease name recognition using domain invariant features
Sunil Sahu
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Ashish Anand
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FBK-irst : A Multi-Phase Kernel Based Approach for Drug-Drug Interaction Detection and Classification that Exploits Linguistic Information
Md. Faisal Mahbub Chowdhury
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Alberto Lavelli
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SimSem: Fast Approximate String Matching in Relation to Semantic Category Disambiguation
Pontus Stenetorp
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Sampo Pyysalo
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Jun’ichi Tsujii
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Assessing the practical usability of an automatically annotated corpus
Md. Faisal Mahbub Chowdhury
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Alberto Lavelli
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http://hlt.fbk.eu/people/chowdhury/research
http://www.computationalmedicine.org/challenge/index.php
https://www.i2b2.org/NLP/Relations/Main.php
http://banner.sourceforge.net/
http://biotext.berkeley.edu/data/dis
http://www-tsujii.is.s.u-tokyo.ac.jp/GENIA/tagger/
http://nlp.stanford.edu/software/lex-parser.shtml
http://lexsrv3.nlm.nih.gov/SPECIALIST/index.html
http://semanticnetwork.nlm.nih.gov/SemGroups/
http://diego.asu.edu/downloads/AZDC/
http://mallet.cs.umass.edu
Field Of Study
Task
Tagging
Named Entity Recognition
Relation Extraction
Biomedical
Language
English
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