dc.contributor.author | Clarke, D. | |
dc.contributor.author | Lutz, R. | |
dc.contributor.author | Weir, D. | |
dc.date.accessioned | 2012-01-12T13:01:04Z | |
dc.date.available | 2012-01-12T13:01:04Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | Clarke , D , Lutz , R & Weir , D 2010 , Semantic Composition with Quotient Algebras . in Procs of Geometric Models of Natural Language Semantics : GEMS-2010 . pp. 38-44 . | |
dc.identifier.other | PURE: 515332 | |
dc.identifier.other | PURE UUID: 8abd3a25-2df3-4cbc-b0a4-baf248deee4f | |
dc.identifier.other | dspace: 2299/4684 | |
dc.identifier.uri | http://hdl.handle.net/2299/7633 | |
dc.description.abstract | 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. | en |
dc.language.iso | eng | |
dc.relation.ispartof | Procs of Geometric Models of Natural Language Semantics | |
dc.subject | linguistics | |
dc.subject | vector-based semantics | |
dc.subject | tensor algebra | |
dc.title | Semantic Composition with Quotient Algebras | en |
dc.contributor.institution | School of Computer Science | |
rioxxterms.version | AM | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |