1999 ConstrBioKBsByIE

(Craven & Kumlien, 1999) ⇒ Mark Craven, and Johan Kumlien. (1999). “Constructing Biological Knowledge-bases by Extracting Information from Text Sources.” In: Proceedings of the International Conference on Intelligent Systems for Molecular Biology.

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

Notes

It is one of the seminal publications of the application of [[weakly labeled dataset]]s (by Distant-Supervision Learning Algorithm).

Cited By

Quotes

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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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
1999 ConstrBioKBsByIE	Mark Craven Johan Kumlien			Constructing Biological Knowledge-bases by Extracting Information from Text Sources			http://www.biostat.wisc.edu/~craven/papers/ismb99.pdf