A query-focused summarization method that guarantees the inclusion of query words

Norihito Yasuda, Masaaki Nishino, Tsutomu Hirao, Jun Suzuki, Ryoji Kataoka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Query-focused summarization is a variant of automatic summarization that uses a given query to generate summaries. It is used, for example, to generate search result snippets. Although conventional score-based methods tend to generate summaries that contain words in the given query, they offer no guarantees of that. We show that such guarantees can be formulated as an optimization problem where one constraint is that the generated summary contains at least some of the words in the query. We also show that the formulated optimization problem can be efficiently solved by using Lagrangian relaxation.

Original languageEnglish
Title of host publicationProceedings - 23rd International Workshop on Database and Expert Systems Applications, DEXA 2012
Pages126-130
Number of pages5
DOIs
Publication statusPublished - 2012 Nov 26
Externally publishedYes
Event23rd International Workshop on Database and Expert Systems Applications, DEXA 2012 - Vienna, Austria
Duration: 2012 Sep 32012 Sep 6

Publication series

NameProceedings - International Workshop on Database and Expert Systems Applications, DEXA
ISSN (Print)1529-4188

Other

Other23rd International Workshop on Database and Expert Systems Applications, DEXA 2012
Country/TerritoryAustria
CityVienna
Period12/9/312/9/6

Keywords

  • automatic summarization
  • query-focused summarization
  • search result snippets

ASJC Scopus subject areas

  • Engineering(all)

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