Alex Lascarides

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We develop a framework for formalizing semantic construction within grammars expressed in typed feature structure logics, including HPSG. The approach provides an alternative to the lambda calculus; it maintains much of the desirable flexibility of unificationbased approaches to composition, while constraining the allowable operations in order to capture(More)
This paper describes a distributional approach to the semantics of verb-particle constructions (e.g. put up, make off ). We report first on a framework for implementing and evaluating such models. We then go on to report on the implementation of some techniques for using statistical models acquired from corpus data to infer the meaning of verb-particle(More)
In this paper we investigate logical metonymy, i.e., constructions where the argument of a word in syntax appears to be different from that argument in logical form (e.g., enjoy the book means enjoy reading the book, and easy problem means a problem that is easy to solve). The systematic variation in the interpretation of such constructions suggests a rich(More)
This paper presents a formal account of the temporal interpretation of text. The distinct natural interpretations of texts with similar syntax are explained in terms of defeasible rules characterising causal laws and Gricean-style pragmatic maxims. Intuitively compelling pat terns of defea,sible entailment that are supported by the logic in which the theory(More)
This paper presents a formal account of how to determine the discourse relations between propositions introduced in a text and the relations between the events they describe The distinct natural interpretations of texts with similar syntax are explained in terms of defeasible rules These characterise the e ects of causal knowledge and knowledge of language(More)
Being able to identify which rhetorical relations (e.g., contrast or explanation) hold between spans of text is important for many natural language processing applications. Using machine learning to obtain a classifier which can distinguish between different relations typically depends on the availability of manually labelled training data, which is very(More)
Several recent theories of linguistic representation treat the lexicon as a highly structured object, incorporating fairly detailed semantic information, and allowing multiple aspects of meaning to be represented in a single entry (e.g. Pustejovsky 1991; Copestake 1992; Copestake and Briscoe 1995). One consequence of these approaches is that word senses(More)