Michael White
Inducing Clause-Combining Rules: A Case Study with the SPaRKy Restaurant Corpus
White, Michael; Howcroft, David M.
Abstract
We describe an algorithm for inducing clause-combining rules for use in a traditional natural language generation architecture. An experiment pairing lexicalized text plans from the SPaRKy Restaurant Corpus with logical forms obtained by parsing the corresponding sentences demonstrates that the approach is able to learn clause-combining operations which have essentially the same coverage as those used in the SPaRKy Restaurant Corpus. This paper fills a gap in the literature, showing that it is possible to learn microplanning rules for both aggregation and discourse connective insertion, an important step towards ameliorating the knowledge acquisition bottleneck for NLG systems that produce texts with rich discourse structures using traditional architectures.
Citation
White, M., & Howcroft, D. M. (2015). Inducing Clause-Combining Rules: A Case Study with the SPaRKy Restaurant Corpus. In Proceedings of the 15th European Workshop on Natural Language Generation (ENLG) (28-37). https://doi.org/10.18653/v1/w15-4704
Conference Name | 15th European Workshop on Natural Language Generation (ENLG) |
---|---|
Conference Location | Brighton, UK |
Start Date | Sep 10, 2015 |
End Date | Sep 11, 2015 |
Publication Date | 2015 |
Deposit Date | Aug 25, 2021 |
Publicly Available Date | Aug 25, 2021 |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 28-37 |
Book Title | Proceedings of the 15th European Workshop on Natural Language Generation (ENLG) |
DOI | https://doi.org/10.18653/v1/w15-4704 |
Public URL | http://researchrepository.napier.ac.uk/Output/2794503 |
Publisher URL | https://aclanthology.org/W15-4704/ |
Files
Inducing Clause-Combining Rules: A Case Study With The SPaRKy Restaurant Corpus
(<nobr>147 Kb</nobr>)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
Published under a Creative Commons Attribution 4.0 International License: https://creativecommons.org/licenses/by/4.0/
You might also like
OTTers: One-turn Topic Transitions for Open-Domain Dialogue
(2021)
Conference Proceeding
How speakers adapt object descriptions to listeners under load
(2019)
Journal Article
G-TUNA: a corpus of referring expressions in German, including duration information
(2017)
Conference Proceeding