Proposing an Artificial Intelligence Model for Extracting Persian Question–Answer in the Tourism Domain

Amini, Shirin; Afshar Kazemi, Mohamad Ali; Alam Tabriz, Akbar; Khatami Firouzabadi, Seyed Mohammad Ali

doi:10.22054/ims.2026.88566.2683

Proposing an Artificial Intelligence Model for Extracting Persian Question–Answer in the Tourism Domain

Document Type : Research Paper

Authors

Shirin Amini ¹

Mohamad Ali Afshar Kazemi ²

Akbar Alam Tabriz ³

Seyed Mohammad Ali Khatami Firouzabadi ⁴

¹ Department of Information Technology Management, KI.C., Islamic Azad University, Kish, Iran

² IDepartment of Industrial Management, CT.C., Islamic Azad University, Tehran, Iran Corresponding Author: moh.afsharkazemi@iauctb.ac.ir

³ Department of Industrial Management and Information Technology, Faculty of Management and Accounting, Shahid Beheshti University, Tehran, Iran

⁴ Department of Operations Management and Information Technology, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran

https://doi.org/10.22054/ims.2026.88566.2683

Abstract

Given the importance of the tourism industry in the country’s economy and culture, and the shortage of domain-specific datasets for training Persian language models, this research aims to fill the existing gap. The objective of this study is to improve the performance of Persian tourism-related question answering systems and to provide accurate responses to queries concerning Iranian attractions and destinations. To achieve this, a collection of reliable tourism texts was gathered and processed, and using advanced natural language processing approaches, including Prompt Engineering, approximately 20,000 question–answer records were generated. In addition, the application of the innovative Answer Window strategy enhanced the quality of the produced data. Subsequently, the ToKA-BERT model was fine-tuned with this dataset, and evaluation results revealed its significant superiority in specialized tourism question answering compared to general-purpose Persian QA models. Both the dataset and the final model have been published on the Hugging Face platform and can serve as valuable resources for developing intelligent systems in the tourism industry and enhancing user experience.

Keywords

ToKA-BERT

IntelligentQuestion-Answering

Iranian Tourism

Natural Language Processing (NLP)

SQuAD-

Subjects

Using Artificial Intelligence inManagement

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