Using Sentence Plausibility to Learn the Semantics of Transitive Verbs

Autor:	Polajnar, Tamara, Rimell, Laura, Clark, Stephen
Rok vydání:	2014
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	The functional approach to compositional distributional semantics considers transitive verbs to be linear maps that transform the distributional vectors representing nouns into a vector representing a sentence. We conduct an initial investigation that uses a matrix consisting of the parameters of a logistic regression classifier trained on a plausibility task as a transitive verb function. We compare our method to a commonly used corpus-based method for constructing a verb matrix and find that the plausibility training may be more effective for disambiguation tasks. Comment: Full updated paper for NIPS learning semantics workshop, with some minor errata fixed
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1411.7942 Zobrazit plný text záznamu View this record from Arxiv