Extracting related named entities from blogosphere for event mining

Yoshihiko Suhara, Hiroyuki Toda, Akito Sakurai

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

5 Citations (Scopus)

Abstract

We propose a method of extracting named entities that are related to a single input word. Focusing on the syntactic dependency relation in sentences, it is reasonable to extract a case element that syntactically depends on the predicate that the input word depends on. In Japanese, though, a word which has appeared in a previous sentence is often omitted or replaced. Our proposed method, first, extracts "predicate patterns" consisting of case elements with case particles and a predicate. Then it combines predicate patterns that have the same predicate to form possible unabridged dependence relations.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Ubiquitous Information Management and Communication, ICUIMC-2008
Pages225-229
Number of pages5
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2nd International Conference on Ubiquitous Information Management and Communication, ICUIMC-2008 - Suwon, Korea, Republic of
Duration: 2008 Jan 312008 Feb 1

Publication series

NameProceedings of the 2nd International Conference on Ubiquitous Information Management and Communication, ICUIMC-2008

Other

Other2nd International Conference on Ubiquitous Information Management and Communication, ICUIMC-2008
Country/TerritoryKorea, Republic of
CitySuwon
Period08/1/3108/2/1

Keywords

  • information extraction
  • text mining
  • world wide web

ASJC Scopus subject areas

  • Computer Science Applications

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