Vector models of language are based on the contextual aspects of words and how they co-occur in text. Truth conditional models focus on the logical aspects of language, the denotations of phrases, and their compositional properties. In the latter approach the denotation of a sentence determines its truth conditions and can be taken to be a truth value, a set of possible worlds, a context change potential, or similar. In this short paper, we develop a vector semantics for language based on the simply typed lambda calculus. Our semantics uses techniques familiar from the truth conditional tradition and is based on a form of dynamic interpretation inspired by Heim’s context updates.
CITATION STYLE
Muskens, R., & Sadrzadeh, M. (2016). Context update for lambdas and vectors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10054 LNCS, pp. 247–254). Springer Verlag. https://doi.org/10.1007/978-3-662-53826-5_15
Mendeley helps you to discover research relevant for your work.