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BMCBI
2010
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13 years 4 months ago
Learning an enriched representation from unlabeled data for protein-protein interaction extraction
Background: Extracting protein-protein interactions from biomedical literature is an important task in biomedical text mining. Supervised machine learning methods have been used w...
Yanpeng Li, Xiaohua Hu, Hongfei Lin, Zhihao Yang
LREC
2010
151views Education» more  LREC 2010»
13 years 5 months ago
Descriptive Analysis of Negation Cues in Biomedical Texts
In this paper we present a description of negation cues and their scope in biomedical texts, based on the cues that occur in the BioScope corpus. We provide information relative t...
Roser Morante
ACL
2008
13 years 5 months ago
Hedge Classification in Biomedical Texts with a Weakly Supervised Selection of Keywords
Since facts or statements in a hedge or negated context typically appear as false positives, the proper handling of these language phenomena is of great importance in biomedical t...
György Szarvas
CSB
2003
IEEE
13 years 9 months ago
A Probabilistic Model for Identifying Protein Names and their Name Boundaries
This paper proposes a method for identifying protein names in biomedical texts with an emphasis on detecting protein name boundaries. We use a probabilistic model which exploits s...
Kazuhiro Seki, Javed Mostafa
ITNG
2006
IEEE
13 years 10 months ago
Biomedical Term Disambiguation: An Application to Gene-Protein Name Disambiguation
The huge volumes of biomedical texts available online drives the increasing need for automated techniques to analyze and extract knowledge from these repositories of information. ...
Hisham Al-Mubaid, Ping Chen