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
PublisherSpringer-Verlag
Pages333-343
Number of pages11
ISBN (Print)3540652590, 9783540652595
StatePublished - Jan 1 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
CountryUnited States
CityLanghorne
Period10/28/9810/31/98

Fingerprint

Syntactics
Nitrogen
Inconsistency
Diagnostics
Assignment
Generator
Target
Hierarchy

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Dorr, B., Habash, N., & Traum, D. (1998). A thematic hierarchy for efficient generation from lexical-conceptual structure. In Machine Translation and the Information Soup - 3rd Conference of the Association for Machine Translation in the Americas AMTA 1998, Proceedings (pp. 333-343). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1529). Springer-Verlag.

A thematic hierarchy for efficient generation from lexical-conceptual structure. / Dorr, Bonnie; Habash, Nizar; Traum, David.

Machine Translation and the Information Soup - 3rd Conference of the Association for Machine Translation in the Americas AMTA 1998, Proceedings. Springer-Verlag, 1998. p. 333-343 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1529).

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

Dorr, B, Habash, N & Traum, D 1998, A thematic hierarchy for efficient generation from lexical-conceptual structure. in Machine Translation and the Information Soup - 3rd Conference of the Association for Machine Translation in the Americas AMTA 1998, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1529, Springer-Verlag, pp. 333-343, 3rd Conference on Association for Machine Translation in the Americas, AMTA 1998, Langhorne, United States, 10/28/98.
Dorr B, Habash N, Traum D. A thematic hierarchy for efficient generation from lexical-conceptual structure. In Machine Translation and the Information Soup - 3rd Conference of the Association for Machine Translation in the Americas AMTA 1998, Proceedings. Springer-Verlag. 1998. p. 333-343. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Dorr, Bonnie ; Habash, Nizar ; Traum, David. / A thematic hierarchy for efficient generation from lexical-conceptual structure. Machine Translation and the Information Soup - 3rd Conference of the Association for Machine Translation in the Americas AMTA 1998, Proceedings. Springer-Verlag, 1998. pp. 333-343 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{30bae04c5d364895bc778469f75408e4,
title = "A thematic hierarchy for efficient generation from lexical-conceptual structure",
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.",
author = "Bonnie Dorr and Nizar Habash and David Traum",
year = "1998",
month = "1",
day = "1",
language = "English (US)",
isbn = "3540652590",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "333--343",
booktitle = "Machine Translation and the Information Soup - 3rd Conference of the Association for Machine Translation in the Americas AMTA 1998, Proceedings",

}

TY - GEN

T1 - A thematic hierarchy for efficient generation from lexical-conceptual structure

AU - Dorr, Bonnie

AU - Habash, Nizar

AU - Traum, David

PY - 1998/1/1

Y1 - 1998/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84947752978&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84947752978&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84947752978

SN - 3540652590

SN - 9783540652595

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 333

EP - 343

BT - Machine Translation and the Information Soup - 3rd Conference of the Association for Machine Translation in the Americas AMTA 1998, Proceedings

PB - Springer-Verlag

ER -