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Istituto di linguistica computazionale "Antonio Zampolli"

Torna all'elenco Contributi in atti di convegno anno 2009

Contributo in atti di convegno

Tipo: Presentazione

Titolo: Bootstrapping a Verb Lexicon for Biomedical Information Extraction

Anno di pubblicazione: 2009

Formato: Cartaceo

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

Affiliazioni autori: Consiglio Nazionale delle Ricerche (CNR); Nactem (Manchester, UK)

Autori CNR:


Lingua: inglese

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 predicate-argument 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.

Pagine da: 137

Pagine a: 148

Pagine totali: 12


Lecture notes in computer science Springer
Paese di pubblicazione: Germania
Lingua: multilingue
ISSN: 0302-9743

Numero volume: 5449

Titolo del volume: Proceedings of the 10th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2009)

N. volume della serie/collana: 5449

Curatore/i del volume: Alexander Gelbukh

ISBN: 978-3-642-00381-3

Referee: Sė: Nazionale

Indicizzato da: ISI Web of Science (WOS) [000265681200011]

Parole chiave:

  • domain-specific lexical resources
  • lexical acquisition
  • syntax-semantics linking
  • Information Extraction
  • Biological Language Processing

Congresso nome: International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2009)

Congresso luogo: Mexico City, Mexico

Congresso data: March 1-7, 2009

Congresso rilevanza: Internazionale

Congresso relazione: Contributo

Strutture CNR:


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