A thematic hierarchy for efficient generation from lexical-conceptual structure

Bonnie Dorr, Nizar Habash, David Traum

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationMachine Translation and the Information Soup - 3rd Conference of the Association for Machine Translation in the Americas AMTA 1998, Proceedings
EditorsDavid Farwell D., Laurie Gerber, Eduard Hovy
PublisherSpringer Verlag
Pages333-343
Number of pages11
ISBN (Print)3540652590, 9783540652595
DOIs
StatePublished - 1998
Event3rd Conference on Association for Machine Translation in the Americas, AMTA 1998 - Langhorne, United States
Duration: Oct 28 1998Oct 31 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1529
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd Conference on Association for Machine Translation in the Americas, AMTA 1998
Country/TerritoryUnited States
CityLanghorne
Period10/28/9810/31/98

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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