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Categorical compositional distributional semantics: state-of-the-art!

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If you have a question about this talk, please contact Tamara Polajnar.

Categorical compositional distributional model (Clark, Coecke, MS) provides a theoretical setting where one can combine the grammatical structures of phrases and sentences with the vector semantics of the words within them and build a vector semantics for the phrase and sentence. The theory has been applied to a number of linguistic tasks under a number of concrete instantiations and assumptions. The experimental results have been competitive in some cases and better in others. One potential of this model is that it provides a tool for building vectors and linear maps based on the roles of the words in propagating information around in the sentence.

In this talk, I aim to review this model in layman terms. I will show how one can build vector space semantics for simper functional words such as verbs and adjectives, this is previous joint work with E. Grefenstette. I will then review more recent work where one obtains vector space semantics for logical words such as relative pronouns, this is joint work with Kartsaklis, Clark, and Coecke. Finally, I will present ongoing work on how to extend this setting to quantifiers, or at least one kind of it. This is joint work with O. Rypacek.

This talk is part of the NLIP Seminar Series series.

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