Abstract

In this paper we exploit Semantic Vectors to develop an IR system. The idea is to use semantic spaces built on terms and documents to overcome the problem of word ambiguity. Word ambiguity is a key issue for those systems which have access to textual information. Semantic Vectors are able to dividing the usages of a word into different meanings, discriminating among word meanings based on information found in unannotated corpora. We provide an in vivo evaluation in an Information Retrieval scenario and we compare the proposed method with another one which exploits Word Sense Disambiguation (WSD). Contrary to sense discrimination, which is the task of discriminating among different meanings (not necessarily known a priori), WSD is the task of selecting a sense for a word from a set of predefined possibilities. The goal of the evaluation is to establish how Semantic Vectors affect the retrieval performance.

Autore Pugliese

• Semeraro Giovanni , Basile Pierpaolo

Tutti gli autori

• CAPUTO A.;SEMERARO G.;BASILE P.

Titolo volume/Rivista

Non Disponibile

Anno di pubblicazione

2010

ISSN

1613-0073

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

Non Disponibile

Numero di citazioni Scopus

4

Ultimo Aggiornamento Citazioni

Non Disponibile

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile