Assessing the Impact of Thesaurus-Based Expansion Techniques in QA-Centric IR

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2009

Autores

Luis Morais Sarmento (Autor) FEUP; Jorge Teixeira (Autor) FEUP; Eugénio Oliveira (Autor) FEUP

Ata de Conferência Internacional

Título: CLEF

Páginas: 325-332

Evaluating Systems for Multilingual and Multimodal Information Access, 9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008, Aarhus, Denmark, September 17-19, 2008, Revised Selected Papers

Indexação

ISI Proceedings

ISI Web of Knowledge - 1 Citação

Scopus - 1 Citação

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

CORDIS: Ciências Físicas > Ciência de computadores

Outras Informações

ID Authenticus: P-003-Q31

DOI: 10.1007/978-3-642-04447-2_37

Abstract (EN): We study the impact of using thesaurus-based query expansion methods at the Information Retrieval (IR) stage of a Questiou Answering (QA) system. We focus on expanding queries for questions regarding actions and events, where, verbs have a central role. Two different thesaurus are used: the OpenOffice thesaurus and an automatically generated verb thesaurus. The performance of thesaurus-based methods is compared against what is obtained by (i) executing no expansion and (ii) applying a simple query generalization method. Results show Oat thesaurus-based approaches help improving recall at retrieval, while keeping satisfactory precision. However, we confirm that positive impact for the final QA performance is mostly achieved due to increase in recall, which can also be obtained by using simpler methods. Nevertheless, because of its better relative precision thesaurus-based expansion is effective in selectively reducing the number of irrelevant text passages retrieved, thus reducing computational load in the answer extraction stage.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8