Management of uncertainty in the attachment problem in natural language processing

Paolo Terenziani, Leonardo Lesmo, Elisabetta Gerbino

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Abstract

The problem of choosing the most plausible attachment for a prepositional phrase (PP) or a relative clause (RC) is one of the most significant challenges to a NL Processing system, since it presupposes an in-depth understanding of the interaction between the different sources of knowledge involved in the task of processing a sentence (in particular, we consider syntactic and semantic knowledge). In the paper, we argue that traditional categorical approaches do not adequately face the intrinsic complexity of the attachment problem and we describe a more flexible approach, based on management of uncertainty: both syntax and semantics provide a Confidence Degree (CD) for the linguistic connections, and a weighed combination of these CDs allow the system to select the most plausible connection when different alternatives are possible.

Lingua originaleInglese
Titolo della pubblicazione ospiteUncertainty in Knowledge Bases - 3rd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 1990
EditorRonald R. Yager, Lotfi A. Zadeh, Bernadette Bouchon-Meunier
EditoreSpringer Verlag
Pagine469-478
Numero di pagine10
ISBN (stampa)9783540543466
DOI
Stato di pubblicazionePubblicato - 1991
Pubblicato esternamente
Evento3rd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 1990 - Paris, France
Durata: 2 lug 19906 lug 1990

Serie di pubblicazioni

NomeLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume521 LNCS
ISSN (stampa)0302-9743
ISSN (elettronico)1611-3349

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???event.eventtypes.event.conference???3rd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 1990
Paese/TerritorioFrance
CittàParis
Periodo2/07/906/07/90

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