Using snippets in text summarization: A comparative study and an application

ARMANO, GIULIANO;GIULIANI, ALESSANDRO;VARGIU, ELOISA
2012-01-01

Abstract

Automatic text summarization consists of automatically creating a summary of one or more texts. As for Web pages, unfortunately classical techniques cannot be applied in presence of dynamic contents. In this paper, we propose the adoption of snippets -i.e., page excerpts provided together with user query results by search engines- as a text summarization technique. The study is conducted along two directions: comparing the proposed approach with a classical text summarization technique and (ii) assessing whether snippet summarization can be successfully applied to contextual advertising. On the one hand, comparative experiments show that the proposed approach has performances similar to those obtained by using the selected classical technique. On the other hand, the adoption of snippets as text summarization technique in contextual advertising show that the performances are quite satisfactory.
2012
Proceedings IIR 2012
835
121
132
12
IIR 2012 - 3rd Italian Workshop on Information Retrieval
contributo
Esperti anonimi
January 26-27, 2012
Bari, Italy
nazionale
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Armano, Giuliano; Giuliani, Alessandro; Vargiu, Eloisa
273
3
4.1 Contributo in Atti di convegno
none
info:eu-repo/semantics/conferenceObject
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