An Anaphora Based Information Retrieval Model Extension

Author

Pereira, Francisco Santiago do Carmo ; Júnior, Hilário Seibel ; De Freitas, Sérgio Antônio Andrade

Author_Institution

Programa de Pos-Grad. em Inf., Univ. Fed. do Espirito Santo (UFES), Vitoria, Brazil

Volume

4

fYear

2009

fDate

March 31 2009-April 2 2009

Firstpage

330

Lastpage

334

Abstract

Classical information retrieval models are based on representation of document terms without considering linguistic elements. This article presents a model based on the Discourse Nominal Structure; which lets us take linguistic characteristics of text into account. The model presented is evaluated in comparison with the vector space model. Based on observations during the experimentation we propose modifications to the model in order to achieve a better qualitative performance than originally.

Keywords

information retrieval; text analysis; anaphora resolution; discourse nominal structure; document term representation; information retrieval model extension; linguistic characteristics; vector space model; Computer science; Indexing; Information retrieval; Joining processes; Large scale integration; Natural languages; Anaphora Resolution; Document Processing; Information Retrieval; Natural Language Processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Engineering, 2009 WRI World Congress on

Conference_Location

Los Angeles, CA

Print_ISBN

978-0-7695-3507-4

Type

conf

DOI

10.1109/CSIE.2009.833

Filename

5171013