Using linguistic resources to build conceptual graphs

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper describes a system that uses a combination of existing linguistic resources, namely VerbNet and WordNet, to construct conceptual graph representations of texts. We use a two-step approach, firstly identifying the semantic roles in a sentence, and then using these roles, together with semi-automatically compiled domain-specific knowledge, to construct the conceptual graph representation.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Artificial Intelligence, IC-AI'04 and Proceedings of the International Conference on Machine Learning; Models, Technologies and Applications, MLMTA'04)
PublisherCSREA Press
Pages821-827
Number of pages7
ISBN (Print)1932415335, 9781932415339
Publication statusPublished - 2004
Externally publishedYes
Event2004 International Conference on Artificial Intelligence, IC-AI 2004 - Las Vegas, NV, United States
Duration: 21 Jun 200424 Jun 2004

Publication series

NameProceedings of the International Conference on Artificial Intelligence, IC-AI'04
Volume2

Conference

Conference2004 International Conference on Artificial Intelligence, IC-AI 2004
Country/TerritoryUnited States
CityLas Vegas, NV
Period21/06/0424/06/04

Keywords

  • Conceptual Graphs
  • Semantic roles
  • VerbNet
  • WordNet

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