ALMA:机器学习哺乳聊天机器人

K. Achtaich, N. Achtaich, F. Z. Fagroud, H. Toumi
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引用次数: 0

摘要

自第一台计算机问世以来,研究人员一直试图模拟人类的行为。对于聊天机器人来说,首要目标之一是像人类一样使用自然语言与用户进行交互。对于健康聊天机器人来说,另一个目标同样重要:能够为用户的请求提供正确的答案。多年来,针对癌症、诊断导向、精神科等多个领域开发了许多健康聊天机器人,然而,母乳喂养伴侣却很少(只有两个母乳喂养聊天机器人)。在本文中,我们开发了一个母乳喂养聊天机器人ALMA (BC),它可以通过自然语言理解(NLU)和自然语言生成(NLG)与母乳喂养的妈妈进行对话,并使用AIML知识库和CNN预训练模型为母乳喂养的妈妈提供相关信息。我们让ALMA可以用于正常的WhatsApp对话和Twilio API。ALMA通过志愿母乳喂养母亲进行测试,并通过母乳喂养咨询验证结果。
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ALMA: Machine learning breastfeeding chatbot
Since the first computer, researchers always try to simulate human behave. For Chatbots, one of the first goals is to interact with the user like a human using Natural Language. For Health chatbots, another goal is as much important: be able to provide the correct answer to the user request. Over Years, many health chatbots have been developed for many fields such as cancer, diagnosis orientation, psychiatrics, etc. breastfeeding companion are, however, rare (only two breastfeeding chatbots). In this paper, we have developed ALMA, a Breastfeeding Chatbot (BC) that can converse with a breastfeeding mom throw natural language understanding (NLU) and natural language generation (NLG), and provide her – breastfeeding mom – with the relevant information using AIML knowledge base and CNN pre-trained model. We made ALMA available for a normal WhatsApp conversation throw Twilio API. ALMA was tested by volunteering breastfeeding moms and the results validated by breastfeeding consult.
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来源期刊
Mathematical Modeling and Computing
Mathematical Modeling and Computing Computer Science-Computational Theory and Mathematics
CiteScore
1.60
自引率
0.00%
发文量
54
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