Research on building family networks based on bootstrapping and coreference resolution

Jinghang Gu, Ya'nan Hu, Longhua Qian, Qiaoming Zhu

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

1 Citation (Scopus)

Abstract

Personal Family Network is an important component of social networks, therefore, it is of great importance of how to extract personal family relationships. We propose a novel method to construct personal families based on bootstrapping and coreference resolution on top of a search engine. It begins with seeds of personal relations to discover relational patterns in a bootstrapping fashion, then personal relations are further extracted via these learned patterns, finally family networks are fused using cross-document coreference resolution. The experimental results on a large-scale corpus of Gigaword show that, our method can build accurate family networks, thereby laying the foundation for social network analysis.

Original languageEnglish
Title of host publicationNatural Language Processing and Chinese Computing - Second CCF Conference, NLPCC 2013, Proceedings
PublisherSpringer Verlag
Pages200-211
Number of pages12
ISBN (Print)9783642416439
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2nd CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2013 - Chongqing, China
Duration: 15 Nov 201319 Nov 2013

Publication series

NameCommunications in Computer and Information Science
Volume400
ISSN (Print)1865-0929

Conference

Conference2nd CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2013
Country/TerritoryChina
CityChongqing
Period15/11/1319/11/13

Keywords

  • Bootstrapping
  • Cross-document coreference resolution
  • Family network
  • Social network

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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