A thematic hierarchy for efficient generation from lexical-conceptual structure

Bonnie Dorr, Nizar Habash, David Traum


Abstract
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.
Anthology ID:
1998.amta-papers.29
Volume:
Proceedings of the Third Conference of the Association for Machine Translation in the Americas: Technical Papers
Month:
October 28-31
Year:
1998
Address:
Langhorne, PA, USA
Venue:
AMTA
SIG:
Publisher:
Springer
Note:
Pages:
333–343
Language:
URL:
https://link.springer.com/chapter/10.1007/3-540-49478-2_30
DOI:
Bibkey:
Cite (ACL):
Bonnie Dorr, Nizar Habash, and David Traum. 1998. A thematic hierarchy for efficient generation from lexical-conceptual structure. In Proceedings of the Third Conference of the Association for Machine Translation in the Americas: Technical Papers, pages 333–343, Langhorne, PA, USA. Springer.
Cite (Informal):
A thematic hierarchy for efficient generation from lexical-conceptual structure (Dorr et al., AMTA 1998)
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PDF:
https://link.springer.com/chapter/10.1007/3-540-49478-2_30