Abstract
This paper presents SEGUE, a hybrid surface natural language generator that employs case-based paradigm but performs rulebased 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. © Springer-Verlag 2004.
Cite
CITATION STYLE
Pan, S., & Shaw, J. (2004). SEGUE: A hybrid case-based surface natural language generator. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3123, 130–140. https://doi.org/10.1007/978-3-540-27823-8_14
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