@inproceedings{15d5fa25ed81420ea78c44582f26815c,
title = "Using linguistic resources to build conceptual graphs",
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.",
keywords = "Conceptual Graphs, Semantic roles, VerbNet, WordNet",
author = "Svetlana Hensman and John Dunnion",
year = "2004",
language = "English",
isbn = "1932415335",
series = "Proceedings of the International Conference on Artificial Intelligence, IC-AI'04",
publisher = "CSREA Press",
pages = "821--827",
booktitle = "Proceedings 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)",
note = "2004 International Conference on Artificial Intelligence, IC-AI 2004 ; Conference date: 21-06-2004 Through 24-06-2004",
}