PIA-Core: Semantic annotation through example-based learning

Nigel Collier, Koichi Takeuchi

Research output: Contribution to conferencePaperpeer-review

6 Citations (Scopus)

Abstract

This paper summarizes the aims and scope of the PIA (Portable Information Access) project's PIA-Core system for automatic annotation of documents on the Semantic Web, i.e. The next generation World Wide Web. The focus of the project is to develop a portable information extraction system that can be easily adapted to new domains. PIA has its foundations on three resources: The PIA-Core information extraction module, application modules and PIA guidelines for ensuring consistent annotation. We are currently developing PIA-Core based on advanced machines learning methods to automatically annotate documents with terminology, names, temporal and quantity expressions etc. using examples of annotated documents.

Original languageEnglish
Pages1611-1614
Number of pages4
Publication statusPublished - Jan 1 2002
Externally publishedYes
Event3rd International Conference on Language Resources and Evaluation, LREC 2002 - Las Palmas, Canary Islands, Spain
Duration: May 29 2002May 31 2002

Other

Other3rd International Conference on Language Resources and Evaluation, LREC 2002
Country/TerritorySpain
CityLas Palmas, Canary Islands
Period5/29/025/31/02

ASJC Scopus subject areas

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

Fingerprint

Dive into the research topics of 'PIA-Core: Semantic annotation through example-based learning'. Together they form a unique fingerprint.

Cite this