Recent work on formal methods in computational lexicalsemantics has had theeffect of bringing many linguisticformalisms much closer to the knowledge representationlanguages used in artificial intelligence.

Syntax-driven and ontology-driven lexical semantics.- Knowledge management for terminology-intensive applications: Needs and tools.- Logical structures in the lexicon.- Conventional metaphor and the lexicon.- Representation of semantic knowledge with term subsumption languages.- Predictable meaning shift: Some linguistic properties of Lexical Implication Rules.- Lexical operations in a unification-based framework.- Lexical structures for linguistic inference.- In so many words: Knowledge as a lexical phenomenon.- Redefining the “level” of the “word”.- Lexical and world knowledge: Theoretical and applied viewpoints.- Aspectual requirements of temporal connectives: Evidence for a two-level approach to semantics.- A model for the interaction of lexical and non-lexical knowledge in the determination of word meaning.- For the lexicon that has everything.- Acquiring and representing semantic information in a lexical knowledge base.- General lexical representation for an effect predicate.- The autonomy of shallow lexical knowledge.- A two-level knowledge representation for machine translation: Lexical semantics and tense/aspect.- Lexicon, ontology, and text meaning.- Development of the concept dictionary — Implementation of lexical knowledge.- Presuppositions and default reasoning: A study in lexical pragmatics.

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