Bootstrapping a verb lexicon for biomedical information extraction

Giulia Venturi; Simonetta Montemagni; Simone Marchi; Yutaka Sasaki; Paul Thompson; John McNaught; Sophia Ananiadou

doi:10.1007/978-3-642-00382-0_11

Bootstrapping a verb lexicon for biomedical information extraction

Giulia Venturi, Simonetta Montemagni, Simone Marchi, Yutaka Sasaki, Paul Thompson, John McNaught, Sophia Ananiadou

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

The extraction of information from texts requires resources that contain both syntactic and semantic properties of lexical units. As the use of language in specialized domains, such as biology, can be very different to the general domain, there is a need for domain-specific resources to ensure that the information extracted is as accurate as possible. We are building a large-scale lexical resource for the biology domain, providing information about predicateargument structure that has been bootstrapped from a biomedical corpus on the subject of E. Coli. The lexicon is currently focussed on verbs, and includes both automatically-extracted syntactic subcategorization frames, as well as semantic event frames that are based on annotation by domain experts. In addition, the lexicon contains manually-added explicit links between semantic and syntactic slots in corresponding frames. To our knowledge, this lexicon currently represents a unique resource within in the biomedical domain. © Springer-Verlag Berlin Heidelberg 2009.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)\|Lect. Notes Comput. Sci.
Place of Publication	Heidelberg
Publisher	Springer Nature
Pages	137-148
Number of pages	11
Volume	5449
DOIs	https://doi.org/10.1007/978-3-642-00382-0_11
Publication status	Published - 2009
Event	10th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2009 - Mexico City Duration: 1 Jul 2009 → …

Other

Other	10th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2009
City	Mexico City
Period	1/07/09 → …

Keywords

Biological language processing
Domain-specific lexical resources
Information extraction
Lexical acquisition
Syntaxsemantics linking

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10.1007/978-3-642-00382-0_11

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Venturi, G., Montemagni, S., Marchi, S., Sasaki, Y., Thompson, P., McNaught, J., & Ananiadou, S. (2009). Bootstrapping a verb lexicon for biomedical information extraction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci. (Vol. 5449, pp. 137-148). Springer Nature. https://doi.org/10.1007/978-3-642-00382-0_11

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abstract = "The extraction of information from texts requires resources that contain both syntactic and semantic properties of lexical units. As the use of language in specialized domains, such as biology, can be very different to the general domain, there is a need for domain-specific resources to ensure that the information extracted is as accurate as possible. We are building a large-scale lexical resource for the biology domain, providing information about predicateargument structure that has been bootstrapped from a biomedical corpus on the subject of E. Coli. The lexicon is currently focussed on verbs, and includes both automatically-extracted syntactic subcategorization frames, as well as semantic event frames that are based on annotation by domain experts. In addition, the lexicon contains manually-added explicit links between semantic and syntactic slots in corresponding frames. To our knowledge, this lexicon currently represents a unique resource within in the biomedical domain. {\textcopyright} Springer-Verlag Berlin Heidelberg 2009.",

keywords = "Biological language processing, Domain-specific lexical resources, Information extraction, Lexical acquisition, Syntaxsemantics linking",

author = "Giulia Venturi and Simonetta Montemagni and Simone Marchi and Yutaka Sasaki and Paul Thompson and John McNaught and Sophia Ananiadou",

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Venturi, G, Montemagni, S, Marchi, S, Sasaki, Y, Thompson, P, McNaught, J & Ananiadou, S 2009, Bootstrapping a verb lexicon for biomedical information extraction. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. vol. 5449, Springer Nature, Heidelberg, pp. 137-148, 10th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2009, Mexico City, 1/07/09. https://doi.org/10.1007/978-3-642-00382-0_11

Bootstrapping a verb lexicon for biomedical information extraction. / Venturi, Giulia; Montemagni, Simonetta; Marchi, Simone et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 5449 Heidelberg: Springer Nature, 2009. p. 137-148.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AU - Venturi, Giulia

AU - Montemagni, Simonetta

AU - Marchi, Simone

AU - Sasaki, Yutaka

AU - Thompson, Paul

AU - McNaught, John

AU - Ananiadou, Sophia

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KW - Biological language processing

KW - Domain-specific lexical resources

KW - Information extraction

KW - Lexical acquisition

KW - Syntaxsemantics linking

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BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.

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Venturi G, Montemagni S, Marchi S, Sasaki Y, Thompson P, McNaught J et al. Bootstrapping a verb lexicon for biomedical information extraction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 5449. Heidelberg: Springer Nature. 2009. p. 137-148 doi: 10.1007/978-3-642-00382-0_11

Bootstrapping a verb lexicon for biomedical information extraction

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