By Harry Bunt, Reinhard Muskens
This e-book offers an in-depth view of the present matters, difficulties and techniques within the computation of which means as expressed in language. geared toward linguists, machine scientists, and logicians with an curiosity within the computation of which means, this ebook specializes in major issues in fresh examine in computational semantics. the 1st subject is the definition and use of underspecified semantic representations, i.e. formal buildings that signify a part of the that means of a linguistic item whereas leaving different elements unspecified. the second one subject mentioned is semantic annotation. Annotated corpora became an crucial source either for linguists and for builders of language and speech know-how, particularly while utilized in blend with desktop studying tools. The annotation in corpora has basically marginally addressed semantic info, although, on account that semantic annotation methodologies are nonetheless of their infancy. This e-book discusses the advance and alertness of such methodologies.
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Extra info for Computing Meaning: Volume 3
D. Thesis, Stanford University, CA. M. Marcus, G. Kim, M. A. Marcinkiewicz, R. MacIntyre, M. Ferguson, K. Katz and B. Schasberger. (1994) The Penn Treebank: Annotating Predicate Argument Structure. In: Proceedings of the ARPA Human Language Technology Workshop. M. McCarthy. (2003) Linguistic Basis for Automatic F-Structure Annotation of the Penn-II Treebank. Sc. dissertation, School of Computer Applications, Dublin City University, Dublin 9, Ireland. L. Sadler, J. van Genabith and A. Way. (2000) Automatic F-Structure Annotation from the AP Treebank.
King, The Fifth International Conference on Lexical-Functional Grammar, The University of California at Berkeley, 19 July–20 July 2000, CSLI Publications, Stanford, CA. edu/. A. Frank, L. Sadler, J. van Genabith and A. Way. (2003) From Treebank Resources to LFG F-Structures. ) Anne Abeille, Treebanks: Building and Using Syntactically Annotated Corpora, Kluwer Academic Publishers, Dordrecht/Boston/London, in press. M. Johnson. (2002) A simple pattern-matching algorithm for recovering empty nodes and their antecedents.
Computing Meaning, Volume 3, 55–85. c 2007 Springer. 56 BUNT 2. Why underspecified semantic representation The use of underspeciﬁed semantic representations is motivated primarily by the massive ambiguity that is found in natural language, in particular as revealed through attempts to build eﬀective language understanding systems.