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EKAW
2008
Springer
13 years 9 months ago
Unsupervised Discovery of Compound Entities for Relationship Extraction
In this paper we investigate unsupervised population of a biomedical ontology via information extraction from biomedical literature. Relationships in text seldom connect simple ent...
Cartic Ramakrishnan, Pablo N. Mendes, Shaojun Wang...
LREC
2008
166views Education» more  LREC 2008»
13 years 9 months ago
KnoFusius: a New Knowledge Fusion System for Interpretation of Gene Expression Data
This paper introduces a new architecture that aims at combining molecular biology data with information automatically extracted from scientific literature (using text mining techn...
Pavel Smrz
ACL
2010
13 years 5 months ago
Unsupervised Ontology Induction from Text
Extracting knowledge from unstructured text is a long-standing goal of NLP. Although learning approaches to many of its subtasks have been developed (e.g., parsing, taxonomy induc...
Hoifung Poon, Pedro Domingos
BMCBI
2005
143views more  BMCBI 2005»
13 years 7 months ago
Evaluation of BioCreAtIvE assessment of task 2
Background: Molecular Biology accumulated substantial amounts of data concerning functions of genes and proteins. Information relating to functional descriptions is generally extr...
Christian Blaschke, Eduardo Andrés Le&oacut...