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Sentence Entailment in Categorical Compositional Distributional Semantics

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The field of compositional distributional semantics aims to develop methods for obtaining meaning representations of sentences by starting from distributional representations of words, and combining them in a syntax aware fashion. Categorical compositional distributional semantics provides such a framework inspired by the mathematics of quantum mechanics.

Most of the work on compositional distributional semantics has so far focused on evaluating the similarity between two sentences. In this talk, I will discuss some theory and experiments on a different task: entailment. Quantum mechanics provides objects that are suitable for characterizing both distributional information and vagueness. I will present these objects, the geometric intuition behind them, how they can represent entailment relations between words, and how they fit in the categorical compositional distributional framework to provide entailment relations between sentences.

This talk is part of the NLIP Seminar Series series.

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