FAQ-Based Question Answering Systems with Query-Question and Query-Answer Similarity

Vijay Kumari; Miloni Mittal; Yashvardhan Sharma; Lavika Goel

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Paper

FAQ-Based Question Answering Systems with Query-Question and Query-Answer Similarity

Topics: Deep Learning; Explainable Artificial Intelligence; Machine Learning; Natural Language Processing; Neural Networks

In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, 1189-1196, 2024 , Rome, Italy

Authors: Vijay Kumari ¹ ; Miloni Mittal ¹ ; Yashvardhan Sharma ¹ and Lavika Goel ²

Affiliations: ¹ Birla Institute of Technology and Science, Pilani, Rajasthan, India ; ² Malaviya National Institute of Technology, Jaipur, Rajasthan, India

Keyword(s): FAQ Retrieval, Question-Answering System, Information Retrieval.

Abstract: A Frequently Asked Question (FAQ) Answering System maximizes knowledge access by enabling users to request a natural language question using the FAQ database. Retrieving FAQs is challenging due to the linguistic difference between a query and a question-answer pair. This work explores methods to improve on this linguistic gap in FAQ retrieval of the Question Answering System. The task is to retrieve frequently asked question-answer pairs (FAQ pairs) from the database that are related to the user’s query, thus providing answers to the user. We do so by leveraging natural language processing models like BERT and SBERT and ranking functions like BM25. The best results are obtained when BERT is trained in a triplet fashion (question, paraphrase, non-matching question) and combined with the BM25 model, which compares query with FAQ question answer concatenation.

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Paper citation in several formats:

Kumari, V.; Mittal, M.; Sharma, Y. and Goel, L. (2024). FAQ-Based Question Answering Systems with Query-Question and Query-Answer Similarity. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-680-4; ISSN 2184-433X, SciTePress, pages 1189-1196. DOI: 10.5220/0012454800003636

@conference{icaart24,
author={Vijay Kumari. and Miloni Mittal. and Yashvardhan Sharma. and Lavika Goel.},
title={FAQ-Based Question Answering Systems with Query-Question and Query-Answer Similarity},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2024},
pages={1189-1196},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012454800003636},
isbn={978-989-758-680-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - FAQ-Based Question Answering Systems with Query-Question and Query-Answer Similarity
SN - 978-989-758-680-4
IS - 2184-433X
AU - Kumari, V.
AU - Mittal, M.
AU - Sharma, Y.
AU - Goel, L.
PY - 2024
SP - 1189
EP - 1196
DO - 10.5220/0012454800003636
PB - SciTePress