Computational Linguistics and Intelligent Text Processing: by Kenneth Church (auth.), Alexander Gelbukh (eds.)

By Kenneth Church (auth.), Alexander Gelbukh (eds.)

This e-book constitutes the refereed court cases of the tenth foreign convention on Computational Linguistics and clever textual content Processing, CICLing 2009, held in Mexico urban, Mexico in March 2009.

The forty four revised complete papers awarded including four invited papers have been conscientiously reviewed and chosen from a variety of submissions. The papers conceal all present matters in computational linguistics examine and current clever textual content processing applications.

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Extra info for Computational Linguistics and Intelligent Text Processing: 10th International Conference, CICLing 2009, Mexico City, Mexico, March 1-7, 2009. Proceedings

Example text

Differently from the original version of CG, CCG uses directional slash notation. For building semantic representation CCG pervasively uses lambda calculus, although unification has been proposed as well. Furthermore, CCG has a built-in theory of intonation and information structure [3], that will be used as the basis for the computational treatment of the semantic contribution of information structure in this paper. Unification Categorial Grammar (UCG) represents categories as feature structures called signs [5,6].

If the sign only contains one slash (A/B or A\B), then the next step involves using standard backward application (lines 1,2,3) with both basic sub-signs, A (with the original S*\S *) and B (with the copy S1*\S1*), after which the resulting sign (A /B or A \B ) is stitched back together (lines 9,13). If the argument sign X is more complex and contains multiple slashes, further recursion is needed (lines 4-13). Figure 1 illustrates the combination of the sign for Manny with the sign for the rheme accent H*.

Discourse Processes 22, 247–287 (1996) Opportunities for Natural Language Processing Research in Education 27 66. : Strategies of discourse comprehension. Academic Press, New York (1983) 67. : Select-a-Kibbutzer: A computer tool that gives meaningful feedback on student compositions. Interactive Learning Environments 8(2), 149– 169 (2000) 68. : Subtopic structuring for full-length document access. In: Proceedings of the Association of Computational Linguistics, Special Interest Group on Information Retrieval, pp.

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