{"first_publish_date": "1999", "title": "Lexical semantics and knowledge representation in multilingual text generation", "covers": [1500975], "lc_classifications": ["P98.5.S45 S74 1999"], "key": "/works/OL2003990W", "authors": [{"type": {"key": "/type/author_role"}, "author": {"key": "/authors/OL241389A"}}], "dewey_number": ["410/.285"], "type": {"key": "/type/work"}, "subjects": ["Knowledge representation (Information theory)", "Semantics", "Computational linguistics", "Data processing", "Semantics, data processing"], "description": {"type": "/type/text", "value": "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. Lexical Semantics and Knowledge Representation in Multilingual Text Generation presents a new approach to systematically linking the realms of lexical semantics and knowledge represented in a description logic. For language generation from such abstract representations, lexicalization is taken as the central step: when choosing words that cover the various parts of the content representation, the principal decisions on conveying the intended meaning are made. A preference mechanism is used to construct the utterance that is best tailored to parameters representing the context.\n\nReaders with a background in artificial intelligence, cognitive science, knowledge representation, linguistics, or natural language processing will find a model of language production that can be adapted to a variety of purposes."}, "latest_revision": 5, "revision": 5, "created": {"type": "/type/datetime", "value": "2009-12-09T22:41:57.242182"}, "last_modified": {"type": "/type/datetime", "value": "2025-04-12T18:02:42.364036"}}