SEGUE: A Hybrid Case-Based Surface Natural Language Generator

Simple item page
dc.contributor.authorPan, Shimei
dc.contributor.authorShaw, James
dc.date.accessioned2025-06-05T14:02:54Z
dc.date.available2025-06-05T14:02:54Z
dc.date.issued2004
dc.descriptionInternational Conference on Natural Language Generation
dc.description.abstractThis paper presents Segue, a hybrid surface natural language generator that employs case-based paradigm but performs rule-based adaptations. It uses an annotated corpus as its knowledge source and employs grammatical rules to construct new sentences. By using adaptation-guided retrieval to select cases that can be adapted easily to the desired output, Segue simplifies the process and avoids generating ungrammatical sentences. The evaluation results show the system generates grammatically correct sentences (91%), but disfluency is still an issue.
dc.description.urihttps://link.springer.com/chapter/10.1007/978-3-540-27823-8_14
dc.format.extent10 pages
dc.genreconference papers and proceedings
dc.genrebook chapters
dc.genrepostprints
dc.identifierdoi:10.13016/m2w7sz-huha
dc.identifier.citationPan, Shimei, and James Shaw. “SEGUE: A Hybrid Case-Based Surface Natural Language Generator.” In Natural Language Generation, edited by Anja Belz, Roger Evans, and Paul Piwek, 130–40. Berlin, Heidelberg: Springer, 2004. https://doi.org/10.1007/978-3-540-27823-8_14.
dc.identifier.urihttps://doi.org/10.1007/978-3-540-27823-8_14
dc.identifier.urihttp://hdl.handle.net/11603/38621
dc.language.isoen_US
dc.publisherSpringer Nature
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectAnnotate Corpus
dc.subjectInsertion Operator
dc.subjectRetrieval Phase
dc.subjectMachine Translation
dc.subjectGrammatical Rule
dc.titleSEGUE: A Hybrid Case-Based Surface Natural Language Generator
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-5989-8543

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
segueahybride.pdf
Size:
250.15 KB
Format:
Adobe Portable Document Format
Download

Collections

UMBC Information Systems Department