Automatic Generation System of Frequently Asked Questions Based on the T5 Model
DOI:
https://doi.org/10.54097/ajst.v2i1.638Keywords:
Question generation, Transformer, T5, Frequently Asked Questions.Abstract
Question generation is a widely used technique in natural language processing, and it can be applied in many contexts. In order to provide domain-specific FAQs efficiently and comprehensively, this work designs an automated system for Frequently Asked Questions (FAQ) generation based on the T5 model. This work makes some optimizations and adjustments based on an open-source project with high review scores, mainly in terms of performance and data format, in order to be able to obtain a more comprehensive output with more direct input, which ultimately meets the expectations. This work also designed a Django-based web page as an initial user interface. This work is a practical application project for question generation with some practicality and can be used to build or extend a domain-specific FAQ knowledge database.
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