Semantic structures: advances in natural language processing
David L. Waltz
Lawrence Erlbaum Associates, Incorporated, 1989 - Language Arts & Disciplines - 220 pages
Focusing on text rather than on isolated sentences, this collection examines recent computer programs designed to aid in understanding natural language generation. All the systems concentrate on the semantics, pragmatics, and common sense knowledge necessary to understand, summarize, and learn new word and phrase definitions from text. Special emphasis is given to generating linguistic descriptions from perceptual inputs. Issues covered include the representation of episodic and semantic knowledge to support text understanding; the generation and verification of inferences from text; story understanding and the production of narrative summaries; and the interactions of syntax with semantic and common sense.
What people are saying - Write a review
We haven't found any reviews in the usual places.
KNOWLEDGE INTERACTIONS AND INTEGRATED PARSING
EVENT CONCEPT COHERENCE
LEARNING WORD MEANINGS FROM EXAMPLES
10 other sections not shown
Other editions - View all
Semantic Structures: (Rle Linguistics B: Grammar): Advances in Natural ...
David L. Waltz
No preview available - 2015
abstract achieve adage affect state map analysis approach Artificial Intelligence assassinate bewegen move BORIS causal character Cognitive Science coherence relations Conceptual Dependency connection Consider constraints counterplan Daughters David defun demons described DIVORCE DivoRCE-2 drive Dyer ECC representation episodic memory event concept coherence event models event recognition event/state concepts example Figure Fleeting Success FRUMP George goal failure IN-FRONT-OF inferences input instance instantiated John knowledge learning Lehnert linguistic LOCATION TRUCKl LOCATION VWl M-SERVICE Macbeth match meaning MOVE VW1 murder NAOS narrative natural language processing NEXUS nodes object overtake parser parsing Paul plan-based plot units plot-unit graph predicates primitives problem resolution PTRANS relationships represent restaurant retrieval Richard Rumelhart scene description Schank script semantic semantic network sentence setq situation Society of Mind speech act story grammars structure summary SYM-APPROACH syntactic TAUs thematic roles theory tion understanding VW1 TRUCK1 waitress wants Wilensky word