{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/hhh-an-online-medical-chatbot-system-based-on-1","title":"HHH: An Online Medical Chatbot System based on Knowledge Graph and Hierarchical Bi-Directional Attention","arxiv_id":"2002.03140","date":"2020-02-08","proceeding":"Proceedings of the Australasian Computer Science Week Multi-conference (ACSW 2020) 2020 2","authors":["Qiming Bao","Lin Ni","Jiamou Liu"],"abstract":"This paper proposes a chatbot framework that adopts a hybrid model which consists of a knowledge graph and a text similarity model. Based on this chatbot framework, we build HHH, an online question-and-answer (QA) Healthcare Helper system for answering complex medical questions. HHH maintains a knowledge graph constructed from medical data collected from the Internet. HHH also implements a novel text representation and similarity deep learning model, Hierarchical BiLSTM Attention Model (HBAM), to find the most similar question from a large QA dataset. We compare HBAM with other state-of-the-art language models such as bidirectional encoder representation from transformers (BERT) and Manhattan LSTM Model (MaLSTM). We train and test the models with a subset of the Quora duplicate questions dataset in the medical area. The experimental results show that our model is able to achieve a superior performance than these existing methods.","url_abs":"https://arxiv.org/abs/2002.03140v1","url_pdf":"https://arxiv.org/pdf/2002.03140v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"hhh-an-online-medical-chatbot-system-based-on-1","repo_url":"https://github.com/14H034160212/HHH-An-Online-Question-Answering-System-for-Medical-Questions","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"hhh-an-online-medical-chatbot-system-based-on-1","repo_url":"https://github.com/Mrzhang3389/chatbot","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"chatbot","task_name":"Chatbot"},{"task_slug":"medical-question-pair-similarity-computation","task_name":"Medical question pair similarity computation"},{"task_slug":"text-similarity","task_name":"text similarity"}],"methods":[{"method_slug":"bilstm","method_name":"BiLSTM"},{"method_slug":"lstm","method_name":"LSTM"},{"method_slug":"sigmoid-activation","method_name":"Sigmoid Activation"},{"method_slug":"tanh-activation","method_name":"Tanh Activation"},{"method_slug":"test","method_name":"Test"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2002.03140","atlas_url":"https://app.syntology.ai/?focus=2002.03140","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}