2017 International Conference on Orange Technologies (ICOT) 2017
DOI: 10.1109/icot.2017.8336091
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A chatbot using LSTM-based multi-layer embedding for elderly care

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Cited by 57 publications
(30 citation statements)
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“…Machine learning training materials were sometimes based on real health data extracted and anonymized from hospital information systems and electronic health records. In other instances, chatbots were trained on billions of words extracted from Google News datasets [ 18 , 19 , 38 , 39 , 49 , 51 ]. Another 6 studies relied on web services such as Dialogflow by Google.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Machine learning training materials were sometimes based on real health data extracted and anonymized from hospital information systems and electronic health records. In other instances, chatbots were trained on billions of words extracted from Google News datasets [ 18 , 19 , 38 , 39 , 49 , 51 ]. Another 6 studies relied on web services such as Dialogflow by Google.…”
Section: Resultsmentioning
confidence: 99%
“…The medical knowledge source can be local, such as obtaining it from medical personnel, or it can be collected from online sources such as Wikipedia or other websites. The medical knowledge can be presented to the user in the context of educational chatbots (17/45) [ 12 - 14 , 19 , 23 - 25 , 27 , 32 , 34 , 41 , 46 , 48 - 51 , 53 ], or it can be used to train machine learning algorithms (5/45) [ 39 , 40 , 43 , 44 , 51 ]. Many of the developed approaches store users’ data and use the data to customize the chatbot response and improve its functionality (11/45).…”
Section: Resultsmentioning
confidence: 99%
“…Questionnaires and corresponding answers will be predefined in our corpus at first [19]. Then we perform a series of pre-processing on the defined corpus, including word segmentation and tagging, word embedding and word weighting.…”
Section: Process Modelmentioning
confidence: 99%
“…A chatbot is a messaging program that interacts with users like chatting with people. There is research on developing a dialogue system or chatbot using natural language that is useful for education, customer service, and entertainment purposes [1][2][3]. In Universitas Multimedia Nusantara (UMN), there is a web-based voice chatbot called Jacob which is developed by Wijaya in [4].…”
Section: Introductionmentioning
confidence: 99%
“…LSTM is widely well known due to its capability of learning long-term dependencies and reducing the vanishing gradient problem. LSTM could be implemented to predict the next word by the previous words in language modeling and generating text and implemented in chatbot application [2]. Yavuz et al in [8] develop a response generation using LSTM and hierarchical pointer network.…”
Section: Introductionmentioning
confidence: 99%