PIA-Core: Semantic annotation through example-based learning

Nigel Collier, Koichi Takeuchi

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

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
Title of host publicationProceedings of the 3rd International Conference on Language Resources and Evaluation, LREC 2002
PublisherEuropean Language Resources Association (ELRA)
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
CountrySpain
CityLas Palmas, Canary Islands
Period5/29/025/31/02

Fingerprint

semantics
learning
Annotation
learning method
technical language
Internet
resources
Information Extraction
Module

ASJC Scopus subject areas

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

Cite this

Collier, N., & Takeuchi, K. (2002). PIA-Core: Semantic annotation through example-based learning. In Proceedings of the 3rd International Conference on Language Resources and Evaluation, LREC 2002 (pp. 1611-1614). European Language Resources Association (ELRA).

PIA-Core : Semantic annotation through example-based learning. / Collier, Nigel; Takeuchi, Koichi.

Proceedings of the 3rd International Conference on Language Resources and Evaluation, LREC 2002. European Language Resources Association (ELRA), 2002. p. 1611-1614.

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

Collier, N & Takeuchi, K 2002, PIA-Core: Semantic annotation through example-based learning. in Proceedings of the 3rd International Conference on Language Resources and Evaluation, LREC 2002. European Language Resources Association (ELRA), pp. 1611-1614, 3rd International Conference on Language Resources and Evaluation, LREC 2002, Las Palmas, Canary Islands, Spain, 5/29/02.
Collier N, Takeuchi K. PIA-Core: Semantic annotation through example-based learning. In Proceedings of the 3rd International Conference on Language Resources and Evaluation, LREC 2002. European Language Resources Association (ELRA). 2002. p. 1611-1614
Collier, Nigel ; Takeuchi, Koichi. / PIA-Core : Semantic annotation through example-based learning. Proceedings of the 3rd International Conference on Language Resources and Evaluation, LREC 2002. European Language Resources Association (ELRA), 2002. pp. 1611-1614
@inproceedings{f8ff5245c0fc479da0259b44ddd0992c,
title = "PIA-Core: Semantic annotation through example-based learning",
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.",
author = "Nigel Collier and Koichi Takeuchi",
year = "2002",
month = "1",
day = "1",
language = "English",
pages = "1611--1614",
booktitle = "Proceedings of the 3rd International Conference on Language Resources and Evaluation, LREC 2002",
publisher = "European Language Resources Association (ELRA)",

}

TY - GEN

T1 - PIA-Core

T2 - Semantic annotation through example-based learning

AU - Collier, Nigel

AU - Takeuchi, Koichi

PY - 2002/1/1

Y1 - 2002/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84883608720&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84883608720&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84883608720

SP - 1611

EP - 1614

BT - Proceedings of the 3rd International Conference on Language Resources and Evaluation, LREC 2002

PB - European Language Resources Association (ELRA)

ER -