1999 ConstrBioKBsByIE

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Subject Headings: Relation Detection from Text Algorithm, PPLRE Project, Distant-Supervision Learning Algorithm.

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Abstract

Recently, there has been much effort in making databases for molecular biology more accessible and interoperable. However, information in text form, such as MEDLINE records, remains a greatly underutilized source of biological information. We have begun a research effort aimed at automatically mapping information from text sources into structured representations, such as knowledge bases. Our approach to this task is to use machine-learning methods to induce routines for extracting facts from text. We describe two learning methods that we have applied to this task a statistical text classification method, and a relational learning method and our initial experiments in learning such information-extraction routines. We also present an approach to decreasing the cost of learning information-extraction routines by learning from weakly" labeled training data.


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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
1999 ConstrBioKBsByIEMark Craven
Johan Kumlien
Constructing Biological Knowledge-bases by Extracting Information from Text SourcesProceedings of the International Conference on Intelligent Systems for Molecular Biologyhttp://www.biostat.wisc.edu/~craven/papers/ismb99.pdf1999