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» Joint Inference for Knowledge Extraction from Biomedical Lit...
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BMCBI
2008
173views more  BMCBI 2008»
13 years 6 months ago
Extraction of semantic biomedical relations from text using conditional random fields
Background: The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of a...
Markus Bundschus, Mathäus Dejori, Martin Stet...
AAAI
2007
13 years 8 months ago
Joint Inference in Information Extraction
The goal of information extraction is to extract database records from text or semi-structured sources. Traditionally, information extraction proceeds by first segmenting each ca...
Hoifung Poon, Pedro Domingos
AIMSA
2004
Springer
13 years 11 months ago
PubMiner: Machine Learning-Based Text Mining System for Biomedical Information Mining
PubMiner, an intelligent machine learning based text mining system for mining biological information from the literature is introduced. PubMiner utilize natural language processing...
Jae-Hong Eom, Byoung-Tak Zhang
SAC
2004
ACM
13 years 11 months ago
Classifying biological articles using web resources
Text classification systems on biomedical literature aim to select relevant articles to a specific issue from large corpora. Most systems with an acceptable accuracy are based o...
Francisco M. Couto, Bruno Martins, Mário J....
SIGIR
2008
ACM
13 years 6 months ago
Improving biomedical document retrieval using domain knowledge
Research articles typically introduce new results or findings and relate them to knowledge entities of immediate relevance. However, a large body of context knowledge related to t...
Shuguang Wang, Milos Hauskrecht