Abstract
This paper describes a system for constructing conceptual graph representation of text by using a combination of existing linguistic resources (VerbNet and WordNet). We use a two-step approach, by 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 language | English |
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| Pages | 49-54 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2004 |
| Externally published | Yes |
| Event | 2004 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics - Student Research Workshop, HLT-NAACL 2004 - Boston, United States Duration: 2 May 2004 → 7 May 2004 |
Conference
| Conference | 2004 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics - Student Research Workshop, HLT-NAACL 2004 |
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| Country/Territory | United States |
| City | Boston |
| Period | 2/05/04 → 7/05/04 |