Abstract
We demonstrate a proof-of-concept system that uses a shallow chunking-based
technique for knowledge extraction from natural language text, in particular looking at the task of story understanding. This technique is extended with a reasoning engine that borrows techniques from dynamic ontology refinement to discover the semantic similarity of stories and to merge them together.
technique for knowledge extraction from natural language text, in particular looking at the task of story understanding. This technique is extended with a reasoning engine that borrows techniques from dynamic ontology refinement to discover the semantic similarity of stories and to merge them together.
| Original language | English |
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| Title of host publication | Proceedings of the Workshop KRAQ'06 on Knowledge and Reasoning for Language Processing |
| Place of Publication | Stroudsburg, PA, USA |
| Publisher | Association for Computational Linguistics |
| Pages | 36-41 |
| Number of pages | 6 |
| Publication status | Published - 2006 |
Publication series
| Name | KRAQ '06 |
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| Publisher | Association for Computational Linguistics |