Paraphrasing techniques for maritime QA system

Fatemeh Shiri, Terry Zhuo, Zhuang Li, Shirui Pan, Weiqing Wang, Reza Haffari, Yuan-Fang Li, Van Nguyen

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

6 Citations (Scopus)


There has been an increasing interest in incorporating Artificial Intelligence (AI) into Defence and military systems to complement and augment human intelligence and capabilities. However, much work still needs to be done toward achieving an effective human-machine partnership. This work is aimed at enhancing human-machine communications by developing a capability for automatically translating human natural language into a machine-understandable language (e.g., SQL queries). Techniques toward achieving this goal typically involve building a semantic parser trained on a very large amount of high-quality manually-annotated data. However, in many real-world Defense scenarios, it is not feasible to obtain such a large amount of training data. To the best of our knowledge, there are few works trying to explore the possibility of training a semantic parser with limited manually-paraphrased data, in other words, zero-shot. In this paper, we investigate how to exploit paraphrasing methods for the automated generation of large-scale training datasets (in the form of paraphrased utterances and their corresponding logical forms in SQL format) and present our experimental results using real-world data in the maritime domain.

Original languageEnglish
Title of host publication2022 25th International Conference on Information Fusion (FUSION)
EditorsLyudmila Mihaylova, Florian Pfaff, Tina Malmström
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages8
ISBN (Electronic)9781737749721
ISBN (Print)9781665489416
Publication statusPublished - 2022
EventInternational Conference on Information Fusion 2022 - Linkoping, Sweden
Duration: 4 Jul 20227 Jul 2022
Conference number: 25th


ConferenceInternational Conference on Information Fusion 2022
Abbreviated titleFUSION 2022
Internet address

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