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Merging Stories with Shallow Semantics

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

Original languageEnglish
Title of host publicationProceedings of the Workshop KRAQ'06 on Knowledge and Reasoning for Language Processing
Place of PublicationStroudsburg, PA, USA
PublisherAssociation for Computational Linguistics
Pages36-41
Number of pages6
StatePublished - 2006

Publication series

NameKRAQ '06
PublisherAssociation for Computational Linguistics

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.

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