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WBI-NER: The impact of domain-specific features on the performance of identifying and classifying mentions of drugs
Tim Rocktäschel
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Torsten Huber
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Michael Weidlich
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Ulf Leser
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Paper Details:
Month: June
Year: 2013
Location: Atlanta, Georgia, USA
Venue:
*SEMEVAL |
Citations
URL
A Survey on Recent Advances in Named Entity Recognition from Deep Learning models
Vikas Yadav
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Steven Bethard
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Annotated Corpus of Scientific Conference’s Homepages for Information Extraction
Piotr Andruszkiewicz
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Rafał Hazan
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SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013)
Isabel Segura-Bedmar
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Paloma Martínez
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María Herrero-Zazo
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WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting
Philippe Thomas
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Mariana Neves
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Tim Rocktäschel
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Ulf Leser
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Exploring Word Embedding for Drug Name Recognition
Isabel Segura-Bedmar
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Víctor Suárez-Paniagua
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Paloma Martínez
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An Investigation of Recurrent Neural Architectures for Drug Name Recognition
Raghavendra Chalapathy
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Ehsan Zare Borzeshi
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Massimo Piccardi
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Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing
Jari Björne
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Tapio Salakoski
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http://www.cs.york.ac.uk/semeval-2013/task9/
http://www.accessdata.fda.gov/scripts/cder/
http://www.whocc.no/atc_ddd_index/
http://mallet.cs.umass.edu
Field Of Study
Task
Tagging
Named Entity Recognition
Information Extraction
Relation Extraction
Biomedical
Language
English
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