A Thematic Hierarchy for Efficient Generation from Lexical-Conceptual Structure | Zendy

Bonnie J. Dorr | Zendy; Nizar Habash | Zendy; David Traum | Zendy

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A Thematic Hierarchy for Efficient Generation from Lexical-Conceptual Structure

Author(s) -

Bonnie J. Dorr,

Nizar Habash,

David Traum

Publication year - 1998

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-65259-0

DOI - 10.1007/3-540-49478-2_30

Subject(s) - computer science , thematic map , lexicon , realization (probability) , hierarchy , sentence , representation (politics) , natural language processing , artificial intelligence , generator (circuit theory) , meaning (existential) , linguistics , mathematics , psychology , power (physics) , statistics , physics , philosophy , cartography , quantum mechanics , politics , economics , political science , law , market economy , psychotherapist , geography

This paper describes an implemented algorithm for syntactic realization of a target-language sentence from an interlingual representation called Lexical Conceptual Structure (LCS). We provide a mapping between LCS thematic roles and Abstract Meaning Representation (AMR) relations; these relations serve as input to an off-the-shelf generator (Nitrogen). There are two contributions of this work: (1) the development of a thematic hierarchy that provides ordering information for realization of arguments in their surface positions; (2) the provision of a diagnostic tool for detecting inconsistencies in an existing online LCS-based lexicon that allows us to enhance principles for thematic-role assignment.

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