• português (Brasil)
    • English
    • español
  • English 
    • português (Brasil)
    • English
    • español
  • Login
About
  • Policies
  • Instructions to authors
  • Contact
    • Policies
    • Instructions to authors
    • Contact
View Item 
  •   Home
  • Centro de Educação e Ciências Humanas - CECH
  • Programas de Pós-Graduação
  • Linguística - PPGL
  • Teses e dissertações
  • View Item
  •   Home
  • Centro de Educação e Ciências Humanas - CECH
  • Programas de Pós-Graduação
  • Linguística - PPGL
  • Teses e dissertações
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsAdvisorTitlesSubjectsCNPq SubjectsGraduate ProgramDocument TypeThis CollectionBy Issue DateAuthorsAdvisorTitlesSubjectsCNPq SubjectsGraduate ProgramDocument Type

My Account

Login

Estudo e validação de teorias do domínio lingüístico com vistas à melhoria do tratamento de cadeias de co-referência em sumarização automática

Thumbnail
View/Open
DissTIC.pdf (1.647Mb)
Date
2007-08-21
Author
Carbonel, Thiago Ianez
Metadata
Show full item record
Abstract
The work presented in the dissertation focuses on the study and validation of linguistic theories so as to improve reference cohesion in Automatic Summarization systems, which with the advent of the Internet have received increasing attention due to the urge to manage the huge amounts of on-line textual information that become available each day. In this dissertation we evaluate Seno (2005) s Veins Theory-based proposal and prototype, and present a reimplementation with distinct features based on the analysis of a corpus annotated with rhetoric (RST) and referential information. In addition, we report on the first validation effort for Portuguese for Veins Theory s Conjecture 1 (C1), which constrains anaphora resolution given the rhetoric structure of texts and whose applicability to Automatic Summarization interests us. As a methodological novelty, we put forth the Non-Trivial Precision, a more realistic estimator of C1 s predictive power.
URI
https://repositorio.ufscar.br/handle/ufscar/5650
Collections
  • Teses e dissertações

UFSCar
Universidade Federal de São Carlos - UFSCar
Send Feedback

UFSCar

IBICT
 

 


UFSCar
Universidade Federal de São Carlos - UFSCar
Send Feedback

UFSCar

IBICT