A study of multi-intentional interrogative comprehension methods in the field of tourism

Wen Li; Gulila Altenbek; Shiyu Fan

doi:10.1117/12.3011592

8 November 2023 A study of multi-intentional interrogative comprehension methods in the field of tourism

Wen Li, Gulila Altenbek, Shiyu Fan

Proceedings Volume 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023); 129231Y (2023) https://doi.org/10.1117/12.3011592
Event: 3rd International Conference on Artificial Intelligence, Virtual Reality and Visualization (AIVRV 2023), 2023, Chongqing, China

Abstract

The interrogative understanding task is an important subtask in question-and-answer systems, and currently, most of the existing interrogative understanding methods are oriented to single-intent scenarios, which do not match the actual scenarios. Based on this, we propose a joint modeling model PBIU (Prompting Based Interrogative Understanding) based on cueing learning for the interrogative sentence understanding task. Instead of the traditional pre-training-fine-tuning approach, a pre-training-prompting-prediction approach is used to formalize two subtasks into the same form using a generic pre-training model, and different prompts are used to complete different subtasks. At the same time, the model introduces auxiliary subtask slot prediction and learns the relationship between labels, thus improving the effectiveness and generalization of the model. The experimental results on the publicly available datasets MixATIS and MixSnips and the self-built multi-intentional interrogative dataset MixTFQD in the tourism domain validate that the model has better performance in the interrogative sentence comprehension task in the tourism domain, which is of more importance for applying to realistic real-world scenarios of interrogative sentence comprehension tasks.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wen Li, Gulila Altenbek, and Shiyu Fan "A study of multi-intentional interrogative comprehension methods in the field of tourism", Proc. SPIE 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023), 129231Y (8 November 2023); https://doi.org/10.1117/12.3011592

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