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KCAP
2005
ACM
14 years 1 months ago
Extracting significant words from corpora for ontology extraction
This paper reports a technique for Knowledge Extraction using Natural Language Processing for the purposes of semi-automatic Ontology learning. Determination of significant words ...
Dileep G. Damle, Victoria S. Uren
TCBB
2010
136views more  TCBB 2010»
13 years 5 months ago
Efficient Extraction of Protein-Protein Interactions from Full-Text Articles
—Proteins and their interactions govern virtually all cellular processes, such as regulation, signaling, metabolism, and structure. Most experimental findings pertaining to such ...
Jörg Hakenberg, Robert Leaman, Nguyen Ha Vo, ...
ACL
1993
13 years 8 months ago
Towards History-Based Grammars: Using Richer Models for Probabilistic Parsing
We describe a generative probabilistic model of natural language, which we call HBG, that takes advantage of detailed linguistic information to resolve ambiguity. HBG incorporates...
Ezra Black, Frederick Jelinek, John D. Lafferty, D...
BMCBI
2011
13 years 2 months ago
A comparison and user-based evaluation of models of textual information structure in the context of cancer risk assessment
Background: Many practical tasks in biomedicine require accessing specific types of information in scientific literature; e.g. information about the results or conclusions of the ...
Yufan Guo, Anna Korhonen, Maria Liakata, Ilona Sil...
BMCBI
2004
167views more  BMCBI 2004»
13 years 7 months ago
Feature selection for splice site prediction: A new method using EDA-based feature ranking
Background: The identification of relevant biological features in large and complex datasets is an important step towards gaining insight in the processes underlying the data. Oth...
Yvan Saeys, Sven Degroeve, Dirk Aeyels, Pierre Rou...