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The main asset of categorial grammar has traditionally been the close association between syntactic description on the one hand and a transparent and well-founded semantics on the other. Consequently, categorial grammar has primarily been favored by semantically oriented theorists and has arguably played an important role in the development of formal(More)
This article presents an algorithm for translating the Penn Treebank into a corpus of Combinatory Categorial Grammar (CCG) derivations augmented with local and long-range word–word dependencies. The resulting corpus,CCGbank,includes 99.4% of the sentences in the Penn Treebank. It is available from the Linguistic Data Consortium,and has been used to train(More)
The paper proposes a theory relating syntax, discourse semantics, and intonational prosody. The full range of English intonational tunes distinguished by Pierrehumbert and their semantic interpretation in terms of focus and information structure are discussed, including " dis-continuous " themes and rhemes. The theory is based on Combinatory Categorial(More)
"Two weeks later, Bonadea had already been his lover for a fortnight."-Robert Musil, Der Mann ohne Eigenschaften. A semantics of temporal categories in language and a theory of their use in defining the temporal relations between events both require a more complex structure on the domain underlying the meaning representations than is commonly assumed. This(More)
Selectional constraints are limitations on the applicability of predicates to arguments. For example, the statement " The number two is blue " may be syntactically well formed, but at some level it is anomalous — BLUE is not a predicate that can be applied to numbers. According to the influential theory of (Katz and Fodor, 1964), a predicate associates a(More)
This paper addresses the problem of learning to map sentences to logical form, given training data consisting of natural language sentences paired with logical representations of their meaning. Previous approaches have been designed for particular natural languages or specific meaning representations; here we present a more general method. The approach(More)
We present an algorithm which translates the Penn Treebank into a corpus of Combinatory Categorial Grammar (CCG) derivations. To do this we have needed to make several systematic changes to the Treebank which have to effect of cleaning up a number of errors and inconsistencies. This process has yielded a cleaner treebank that can potentially be used in any(More)
We consider the problem of learning fac-tored probabilistic CCG grammars for semantic parsing from data containing sentences paired with logical-form meaning representations. Traditional CCG lexicons list lexical items that pair words and phrases with syntactic and semantic content. Such lexicons can be inefficient when words appear repeatedly with closely(More)
We describe an implemented system which <italic>automatically</italic> generates and animates conversations between multiple human-like agents with appropriate and synchronized speech, intonation, facial expressions, and hand gestures. Conversation is created by a dialogue planner that produces the text as well as the intonation of the utterances. The(More)