Automatic knowledge extraction of any Chatbot from conversation

Arsovski, Sasa; Osipyan, Hasmik; Oladele, Muniru; Cheok, Adrian David

doi:10.1016/j.eswa.2019.07.014

Cited by 26 publications

(11 citation statements)

References 12 publications

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“…However, some studies have proposed methodologies to simplify these tasks and improve the training process. Arsovski et al [1] proposed a methodology for automatically extracting conversational knowledge and training a neural network. This study presents two stages: the first being training the chatbot from internet sources and the second being the preparation of a training dataset.…”

Section: Training Chatbotsmentioning

confidence: 99%

Rediscovering the use of chatbots in education: A systematic literature review

Pérez

Daradoumis

Puig

2020

Comp Applic In Engineering

243

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Chatbots have been around for years and have been used in many areas such as medicine or commerce. Our focus is on the development and current uses of chatbots in the field of education, where they can function as service assistants or as educational agents. In this research paper, we attempt to make a systematic review of the literature on educational chatbots that address various issues. From 485 sources, 80 studies on chatbots and their application in education were selected through a step-by-step procedure based on the guidelines of the PRISMA framework, using a set of predefined criteria. The results obtained demonstrate the existence of different types of educational chatbots currently in use that affect student learning or improve services in various areas. This paper also examines the type of technology used to unravel the learning outcome that can be obtained from each type of chatbots. Finally, our results identify instances where a chatbot can assist in learning under conditions similar to those of a human tutor, while exploring other possibilities and techniques for assessing the quality of chatbots. Our analysis details these findings and can provide a solid framework for research and development of chatbots for the educational field.

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Section: Training Chatbotsmentioning

confidence: 99%

Rediscovering the use of chatbots in education: A systematic literature review

Pérez

Daradoumis

Puig

2020

Comp Applic In Engineering

243

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“…Chatbot knowledge construction is time-consuming and difficult. Therefore, it is very important to have an automated knowledge extraction mechanism to build various forms of chatbots [3]. The use of models that can improve chatbot performance in answering questions automatically can be considered to compare which two models will influence chatbot performance and determine which model has a better fit.…”

Section: Introductionmentioning

confidence: 99%

Measuring the accuracy of LSTM and BiLSTM models in the application of artificial intelligence by applying chatbot programme

Anki

Bustamam²

2021

IJEECS

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Python programme contains a question and answer system that derived from data sets that have used and implemented the chatbot in this modern era. where the data collected is in the form of corpuses containing extensive metadata-rich fictional conversations derived from extracted film scripts, commonly called cornell movie dialogue corpus. The various models have been used chatbots in python programmes, and LSTM and BiLSTM models were specifically used in this study. Where the form of accuracy will be reported as a result of the implementation of LSTM and BiLSTM models in the chatbot programme. The programme performance will be influenced by the data from the model selection, because the level of accuracy is determined by the target programme being taken. So this is the main factor that determines which model to choose. Based on considerations required for choosing the programme model, in the end the LSTM and the BiLSTM models are chosen and will be applied to the programme. Based on the LSTM and BiLSTM chatbot programmes that have been tested, it can be concluded that the best parameters come from a pair of BiLSTM chatbots using the BiLTSM model with an average accuracy value of 0.995217.

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“…Nowadays, the advances of technologies in artificial intelligence and machine learning have enabled wide development of automated tools for answering customers' queries, collecting surveys, addressing complaints without human involvements. These tools are usually chatbots [1][2][3][4][5][6], or more advanced, voicebots [3,[7][8][9]. For voicebots, it is essential to have engines called text-to-speech (TTS) for performing conversion of answering text to speech and playback to customer during a call.…”

Section: Introductionmentioning

confidence: 99%

The first FOSD-tacotron-2-based text-to-speech application for Vietnamese

Chung

2021

Bulletin EEI

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Recently, with the development and deployment of voicebots which help to minimize personnels at call centers, text-to-speech (TTS) systems supporting English and Chinese have attracted attentions of researchers and corporates worldwide. However, there is very limited published works in TTS developed for Vietnamese. Thus, this paper presents in detail the first Tacotron-2-based TTS application development for Vietnamese that utilizes the publicly available FPT open speech dataset (FOSD) containing approximately 30 hours of labeled audio files together with their transcripts. The dataset was made available by FPT Corporation with an open access license. A new cleaner was developed for supporting Vietnamese language rather than English which was provided by default in Mozilla TTS source code. After 225,000 training steps, the generated speeches have mean opinion score (MOS) well above the average value of 2.50 and center around 3.00 for both clearness and naturalness in a crowd-source survey.

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Automatic knowledge extraction of any Chatbot from conversation

Cited by 26 publications

References 12 publications

Rediscovering the use of chatbots in education: A systematic literature review

Rediscovering the use of chatbots in education: A systematic literature review

Measuring the accuracy of LSTM and BiLSTM models in the application of artificial intelligence by applying chatbot programme

The first FOSD-tacotron-2-based text-to-speech application for Vietnamese

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