Content-Oriented User Modeling for Personalized Response Ranking in Chatbots

Liu, Bingquan; Xu, Zhen; Sun, Chengjie; Wang, Baoxun; Wang, Xiaolong; Wong, Derek F.; Zhang, Min

doi:10.1109/taslp.2017.2763243

Cited by 52 publications

(15 citation statements)

References 23 publications

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“…This will cause data sparseness issues [ 16 ] and will therefore reduce the accuracy, especially when the features of the training data are insufficient. B. Liu et al [ 17 ] proposed a deep neural network (DNN) model that can have a proper reaction according to users’ personalities. However, additional training data are required if input messages are short.…”

Section: Related Workmentioning

confidence: 99%

DBOS: A Dialog-Based Object Query System for Hospital Nurses

Chu

Huang

2020

Sensors

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Due to the advance of indoor positioning technology, it is now possible to trace mobile medical equipment (such as electrocardiography machines, patient monitors, and so on) being moved around a hospital ward. With the support of an object tracking system, nurses can easily locate and find a device, especially when they prepare for a shift change or a medical treatment. As nurses usually face high workloads, it is highly desirable to provide nurses with a user-friendly search interface integrated into a popular mobile app that they use daily. For this, DBOS, a dialog-based object query system, is proposed, which simulates a real conversation with users via the Line messaging app’s chatbot interface. A hybrid method that combines cosine similarity (CS) and term frequency–inverse document frequency (TF-IDF) is used to determine user intent. The result is returned to the user through Line’s interface. To evaluate the applicability of DBOS, 70 search queries given by a head nurse were tested. DBOS was compared with CS, TF-IDF, and Facebook Wit.ai respectively. The experiment results show that DBOS outperforms the abovementioned methods and can achieve a 92.8% accuracy in identifying user intent.

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Section: Related Workmentioning

confidence: 99%

DBOS: A Dialog-Based Object Query System for Hospital Nurses

Chu

Huang

2020

Sensors

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“…From the taxonomical view point, e-interviewer is a particular kind of spoken dialog-machines, or chatbots (also known as chat-agents), such as Clever-bot, XiaoIce, and Alice [55], [75]. In contrast to chatbots, task-completion systems are designed for accomplishing specific tasks, such as intelligent personal assistants (IPAs), for example, Apple's Siri (https://www.apple.com/ios/siri/), Microsoft's Cortana (https://www.microsoft.com/en-us/cortana/), Google Assistant, Facebook M (https://developers.…”

Section: Cognitive Platform For Balancing Between Security and Primentioning

confidence: 99%

Cognitive checkpoint: Emerging technologies for biometric-enabled watchlist screening

Yanushkevich

Sundberg

Twyman

et al. 2019

Computers & Security

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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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Content-Oriented User Modeling for Personalized Response Ranking in Chatbots

Cited by 52 publications

References 23 publications

DBOS: A Dialog-Based Object Query System for Hospital Nurses

DBOS: A Dialog-Based Object Query System for Hospital Nurses

Cognitive checkpoint: Emerging technologies for biometric-enabled watchlist screening

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

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