Computing Meaning: Volume 2 by Harry Bunt (auth.), Harry Bunt, Reinhard Muskens, Elias

By Harry Bunt (auth.), Harry Bunt, Reinhard Muskens, Elias Thijsse (eds.)

This e-book is a suite of papers written by means of extraordinary researchers within the newly rising box of computational semantics. Computational semantics is anxious with the computation of the meanings of linguistic gadgets resembling textual content fragments, spoken discussion utterances, and email messages. The which means of such an item is decided in part by means of linguistic info and partially by means of details from the context within which the thing happens. the data from those assets is mixed via methods that infer which interpretation of the thing applies within the given context. this is applicable not just to notoriously tough features of analyzing linguistic gadgets, equivalent to indexicals, anaphora, and metonymy, but in addition to developing the suitable reference of universal nouns and the scopes of noun words. The valuable factor in computational semantics is how approaches of discovering and mixing the proper linguistic and contextual details into contextually applicable meanings might be organised.
conventional ways of using context info to disambiguated ordinary language expressions don't paintings good, as a result of big ambiguity in usual language. fresh paintings in computational semantics indicates, however, to symbolize linguistic semantic details in formal buildings with underspecification, and to use context info in inference procedures that bring about additional specification of those representations. Underspecified illustration and inference are consequently the major subject matters during this booklet.
The e-book is aimed toward these linguists, computing device scientists, and logicians who take an curiosity within the computation of which means, and who need to know what's taking place during this interesting box of research.

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Additional info for Computing Meaning: Volume 2

Example text

G. pedestrian, participant). 44 FEDERICA BUSA ET AL. in courts) or whether the event simply expresses a typical activity associated to the entity, as in the example of HORSE above. The latter is a case of weak quale in the TELIC domain. Finally, the PURPOSE TELIC is associated with verbs as shown in (18). (17) AGENTIVE ~ AGENTlVE_PROGw AGENTlVE_PERF NATURAL~USATIVES ~ MAKEs (18) DERIVEs TELIC DIRE~INDIRECT ~ INSTRUMENTALs ACTIVITY-OFs TYPICAL-ACTlVITYw The qualia set for the CONSTITUTIVE role also involves a large number of subtypes that express different constitutive relations, and that are further subcategorized depending on their being weak or strong: (19) CONSTITUTIVE PART A IS-PART-OFS EMBER LOCATION A IS-INw HAS-INw HAS-AS-PARTw A MEMBER-OFS HAS-AS-MEMBERs The strong nature of the MEMBER-OF dimension is justified by the behavior of nominaIs like orchestra/e.

Moravcsik, 1. (1998) Meaning, Creativity, and the Partial Inscrutability of the Human Mind. Stanford: CSLI. Nunberg, G. and A Zaenen (1992) Systemic Polysemy in Lexicology and Lexicography. , K. Varantola, T. Salmi-Tolonen and 1. Schopp, editors, EURALEX'92 Proceedings I-II, Fifth EURALEX International Congress, Studia Translatologica, Ser. A, Vol. 1, University of Tampere, 1992. Pustejovsky, J. (1995) The Generative Lexicon. Cambridge, MA: MIT Press. Pustejovsky, J. (1998) Specification of a Top Concept Lattice.

Higginbotham and M. Squartini, editors, Temporal Reference: Aspect and Actionality, Turin: Rosenberg and Sellier. FRANyOISE GAYRAL, DANIEL KAYSER AND NATHALIE PERNELLE IN SEARCH OF THE SEMANTIC VALUE(S) OF AN OCCURRENCE: AN EXAMPLE AND A FRAMEWORK 1. INTRODUCTION The semantic phenomena discussed in this paper, although pervasive in Natural Language, are often discussed in different frameworks, and therefore their status and importance varies from theory to theory. This paper attempts to sketch a general framework; due to space limitation, only the main ideas will be developed, and we believe that these ideas will be easier to grasp if we concentrate on one word, which will be used in most of our examples.

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