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Semantic Composition with Quotient Algebras
We describe an algebraic approach for computing with vector based semantics. The tensor product has been proposed as a method of composition, but has the undesirable property that strings of different length are incomparable. We consider how a quotient algebra of the tensor algebra can allow such comparisons to be made, offering the possibility of data-driven models of semantic composition.
History
Publication status
- Published
Publisher
Curran Associates, IncPublisher URL
Page range
38-44Event name
Geometric Models of Natural Language Semanatics (GEMS-2010)Event location
Uppsala, SwedenEvent type
conferenceBook title
Workshop on Geometrical Models of Natural Language Semantics 2010 (GEMS 2010)ISBN
9781617388163Department affiliated with
- Informatics Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06Usage metrics
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