Abstract
This paper presents Unification-based Combinatory Categorial Grammar (UCCG): a grammar formalism that combines insights from Combinatory Categorial Grammar with feature structure unification. Various aspects of information structure are incorporated in the compositional semantics. Information structure in the semantic representation is worked out in enough detail to allow for the determination of accurate placement of pitch accents, making the representation a suitable starting point for speech generation with context appropriate intonation. UCCG can be used for parsing and generating prosodically annotated text, and uses a semantic representation that is compatible with the currently available ‘off-the-shelf’ automatic inference tools. As such the framework has the potential to advance spoken dialogue systems.
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Traat, M. (2009). Information Structure in a Formal Framework. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2009. Lecture Notes in Computer Science, vol 5449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00382-0_3
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DOI: https://doi.org/10.1007/978-3-642-00382-0_3
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