Artificial Intelligence - On connectionist symbol processing
Cartesian Closed Categories and Typed Lambda- calculi
Proceedings of the Thirteenth Spring School of the LITP on Combinators and Functional Programming Languages
A regression model of adjective-noun compositionality in distributional semantics
GEMS '10 Proceedings of the 2010 Workshop on GEometrical Models of Natural Language Semantics
Semantic composition with quotient algebras
GEMS '10 Proceedings of the 2010 Workshop on GEometrical Models of Natural Language Semantics
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
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The question of how to compose meaning in distributional representations of meaning has recently been recognised as a central issue in computational linguistics. In this paper we describe three general and powerful tools that can be used to describe composition in distributional semantics: quotient algebras, learning of finite dimensional algebras, and the construction of algebras from semigroups.