<p>In knowledge-based natural language generation, issues of formal knowledge representation meet with the linguistic problems of choosing the most appropriate verbalization in a particular situation of utterance. <em>Lexical Semantics and Knowledge Representation in</em><em>Multilingual Text Genera
Lexical Semantics and Knowledge Representation: First SIGLEX Workshop Berkeley, CA, USA, June 17, 1991 Proceedings
β Scribed by James Pustejovsky (auth.), James Pustejovsky, Sabine Bergler (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 1992
- Tongue
- English
- Leaves
- 377
- Series
- Lecture Notes in Computer Science 627
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Recent work on formal methods in computational lexical semantics has had theeffect of bringing many linguistic formalisms much closer to the knowledge representation languages used in artificial intelligence. Formalisms are now emerging which may be more expressive and formally better understood than many knowledge representation languages. The interests of computational linguists now extend to include such domains as commonsense knowledge, inheritance, default reasoning, collocational relations, and even domain knowledge. With such an extension of the normal purview of "linguistic" knowledge, one may question whether there is any logical justification for distinguishing between lexical semantics and commonsense reasoning. This volume explores the question from several methodologicaland theoretical perspectives. What emerges is a clear consensus that the notion of the lexicon and lexical knowledge assumed in earlier linguistic research is grossly inadequate and fails to address the deeper semantic issues required for natural language analysis.
β¦ Table of Contents
Introduction....Pages 1-4
Syntax-driven and ontology-driven lexical semantics....Pages 5-20
Knowledge management for terminology-intensive applications: Needs and tools....Pages 21-37
Logical structures in the lexicon....Pages 39-60
Conventional metaphor and the lexicon....Pages 61-73
Representation of semantic knowledge with term subsumption languages....Pages 75-85
Predictable meaning shift: Some linguistic properties of Lexical Implication Rules....Pages 87-100
Lexical operations in a unification-based framework....Pages 101-119
Lexical structures for linguistic inference....Pages 121-135
In so many words: Knowledge as a lexical phenomenon....Pages 137-153
Redefining the βlevelβ of the βwordβ....Pages 155-169
Lexical and world knowledge: Theoretical and applied viewpoints....Pages 171-183
Aspectual requirements of temporal connectives: Evidence for a two-level approach to semantics....Pages 185-200
A model for the interaction of lexical and non-lexical knowledge in the determination of word meaning....Pages 201-218
For the lexicon that has everything....Pages 219-233
Acquiring and representing semantic information in a lexical knowledge base....Pages 235-243
General lexical representation for an effect predicate....Pages 245-253
The autonomy of shallow lexical knowledge....Pages 255-267
A two-level knowledge representation for machine translation: Lexical semantics and tense/aspect....Pages 269-287
Lexicon, ontology, and text meaning....Pages 289-303
Development of the concept dictionary β Implementation of lexical knowledge....Pages 305-319
Presuppositions and default reasoning: A study in lexical pragmatics....Pages 321-339
β¦ Subjects
Artificial Intelligence (incl. Robotics)
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