* BERT-based FAQ Retrieval Model [#i9fb8f9f] FAQ retrieval system that considers the similarity between a user’s query and a question as well as the relevance between the query and an answer. ** Dataset [#j6210a06] - [[LocalgovFAQ(zip 0.5MB):https://tulip.kuee.kyoto-u.ac.jp/localgovfaq/localgovfaq.zip]] ** Code [#sf4142d9] - [[github:https://github.com/ku-nlp/bert-based-faqir]] ** Reference [#ma4f9360] - Wataru Sakata(LINE Corporation), Tomohide Shibata(Kyoto University), Ribeka Tanaka(Kyoto University) and Sadao Kurohashi(Kyoto University): FAQ Retrieval using Query-Question Similarity and BERT-Based Query-Answer Relevance, Proceedings of SIGIR2019: 42nd Intl ACM SIGIR Conference on Research and Development in Information Retrieval, (2019.7). [[arxiv :https://arxiv.org/abs/1905.02851]],[[poster :https://tulip.kuee.kyoto-u.ac.jp/localgovfaq/poster_sigir2019.pdf]] Proceedings of SIGIR2019: 42nd Intl ACM SIGIR Conference on Research and Development in Information Retrieval, (2019.7). [[arxiv:https://arxiv.org/abs/1905.02851]], [[poster:https://tulip.kuee.kyoto-u.ac.jp/localgovfaq/poster_sigir2019.pdf]]
