Semantic relations asserting the etiology of genetic diseases.

Thomas C. Rindflesch; Bisharah Libbus; Dimitar Hristovski; Alan R. Aronson; Halil Kilicoglu

Semantic relations asserting the etiology of genetic diseases.

Thomas C. Rindflesch, Bisharah Libbus, Dimitar Hristovski, Alan R. Aronson, Halil Kilicoglu

Research output: Contribution to journal › Article › peer-review

Abstract

Considerable research is being directed at extracting molecular biology information from text. Particularly challenging in this regard is to identify relations between entities, such as protein-protein interactions or molecular pathways. In this paper we present a natural language processing method for extracting causal relations between genetic phenomena and diseases. After presenting the results of preliminary evaluation, we suggest the use of a graphical display application for viewing the semantic predications produced by the system.

Original language	English (US)
Pages (from-to)	554-558
Number of pages	5
Journal	AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
State	Published - 2003
Externally published	Yes

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Medicine(all)

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title = "Semantic relations asserting the etiology of genetic diseases.",

abstract = "Considerable research is being directed at extracting molecular biology information from text. Particularly challenging in this regard is to identify relations between entities, such as protein-protein interactions or molecular pathways. In this paper we present a natural language processing method for extracting causal relations between genetic phenomena and diseases. After presenting the results of preliminary evaluation, we suggest the use of a graphical display application for viewing the semantic predications produced by the system.",

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AU - Libbus, Bisharah

AU - Hristovski, Dimitar

AU - Aronson, Alan R.

AU - Kilicoglu, Halil

PY - 2003

Y1 - 2003

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AB - Considerable research is being directed at extracting molecular biology information from text. Particularly challenging in this regard is to identify relations between entities, such as protein-protein interactions or molecular pathways. In this paper we present a natural language processing method for extracting causal relations between genetic phenomena and diseases. After presenting the results of preliminary evaluation, we suggest the use of a graphical display application for viewing the semantic predications produced by the system.

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Semantic relations asserting the etiology of genetic diseases.

Abstract

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