Mining implicit entities in queries

Wei Li, Wenjie Li, Qin Lu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Entities are pivotal in describing events and objects, and also very important in Document Summarization. In general only explicit entities which can be extracted by a Named Entity Recognizer are used in real applications. However, implicit entities hidden behind the phrases or words, e.g. entity country referred by the phrase "cross border", are proved to be helpful in Document Summarization. In our experiment, we extract the implicit entities from the web resources.
Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Language Resources and Evaluation, LREC 2006
PublisherEuropean Language Resources Association (ELRA)
Pages1322-1325
Number of pages4
Publication statusPublished - 1 Jan 2006
Event5th International Conference on Language Resources and Evaluation, LREC 2006 - Genoa, Italy
Duration: 22 May 200628 May 2006

Conference

Conference5th International Conference on Language Resources and Evaluation, LREC 2006
Country/TerritoryItaly
CityGenoa
Period22/05/0628/05/06

ASJC Scopus subject areas

  • Education
  • Library and Information Sciences
  • Linguistics and Language
  • Language and Linguistics

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