Merging Stories with Shallow Semantics

Fiona McNeill, Harry Halpin, Ewan Klein, Alan Bundy

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

Abstract / Description of output

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.
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
Number of pages6
Publication statusPublished - 2006

Publication series

NameKRAQ '06
PublisherAssociation for Computational Linguistics


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