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Topic

Chatbot

About: Chatbot is a research topic. Over the lifetime, 2415 publications have been published within this topic receiving 24372 citations. The topic is also known as: IM bot & AI chatbot.


Papers
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Journal ArticleDOI
TL;DR: A new method for chatbot platform evaluation is proposed and the proposed method for the chatbot selection is demonstrated on two sample businesses – a large bank and a small taxi service.
Abstract: Chatbots are going to be the main tool for automated conversations with customers. Still, there is no consistent methodology for choosing a suitable chatbot platform for a particular business. This paper proposes a new method for chatbot platform evaluation. To describe the current state of chatbot platforms, two high-level approaches to chatbot platform design are discussed and compared. WYSIWYG platforms aim to simplicity but may lack some advanced features. All-purpose chatbot platforms require extensive technical skills and are more expensive but give their users more freedom in chatbot design. We provide an evaluation of six major chatbot solutions. The proposed method for the chatbot selection is demonstrated on two sample businesses - a large bank and a small taxi service.

10 citations

Journal ArticleDOI
TL;DR: The testing results showed that the ontology modelling for such a learning assistant was done relatively accurately, and shows its potential to be pursued as a cloud-based solution in future.
Abstract: Computer-based knowledge and computation systems are becoming major sources of leverage for multiple industry segments. Hence, educational systems and learning processes across the world are on the cusp of a major digital transformation. This paper seeks to explore the concept of an artificial intelligence and natural language processing (NLP) based intelligent tutoring system (ITS) in the context of computer education in primary and secondary schools. One of the components of an ITS is a learning assistant, which can enable students to seek assistance as and when they need, wherever they are. As part of this research, a pilot prototype chatbot was developed, to serve as a learning assistant for the subject Scratch (Scratch is a graphical utility used to teach school children the concepts of programming). By the use of an open source natural language understanding (NLU) or NLP library, and a slackbased UI, student queries were input to the chatbot, to get the sought explanation as the answer. Through a two-stage testing process, the chatbot’s NLP extraction and information retrieval performance were evaluated. The testing results showed that the ontology modelling for such a learning assistant was done relatively accurately, and shows its potential to be pursued as a cloud-based solution in future.

10 citations

Journal ArticleDOI
TL;DR: The paper describes overall chatbot architecture and provides corresponding metamodels as well as rules for mapping between the proposed and two commonly used NLU metAModels and could be easily extended with new NLU services and communication channels.
Abstract: In recent years, gradual improvements in communication and connectivity technologies have enabled new technical possibilities for the adoption of chatbots across diverse sectors such as customer services, trade, and marketing. The chatbot is a platform that uses natural language processing, a subset of artificial intelligence, to find the right answer to all users’ questions and solve their problems. Advanced chatbot architecture that is extensible, scalable, and supports different services for natural language understanding (NLU) and communication channels for interactions of users has been proposed. The paper describes overall chatbot architecture and provides corresponding metamodels as well as rules for mapping between the proposed and two commonly used NLU metamodels. The proposed architecture could be easily extended with new NLU services and communication channels. Finally, two implementations of the proposed chatbot architecture are briefly demonstrated in the case study of “ADA” and “COVID-19 Info Serbia”.

10 citations

Patent
15 May 2018
TL;DR: In this paper, a method for providing an interactive field support service based on an intelligent chatbot, which comprises the steps of redirecting an access signal to a single sign on (SSO) login page to access a plurality of pages by a single login when the access signal is received from a user terminal, identifying the user terminal to receive a request message when the user terminals accesses the SSO login page, recognizing a predicate part in the received request message using morpheme analysis information, and classifying and analyzing the type of the request message on the basis of a
Abstract: Provided is a method for providing an interactive field support service based on an intelligent chatbot, which comprises the steps of: redirecting an access signal to a single sign on (SSO) login page to access a plurality of pages by a single login when the access signal is received from a user terminal; identifying the user terminal to receive a request message when the user terminal accesses the SSO login page; recognizing a predicate part in the received request message using morpheme analysis information, and classifying and analyzing the type of the request message on the basis of a recognition result; searching for utterance which is matched with the utterance of a user or has a similarity therewith greater than or equal to a predetermined reference value from an analysis result in a chatbot database, and outputting a corresponding response; and transmitting the output response to the user terminal.

10 citations

Proceedings ArticleDOI
01 Dec 2018
TL;DR: A novel intuitionistic fuzzy logic based conversational recommender that can provide guidance to users when using science gateways for research and education workflows and can provide step-by-step navigational support and generate distinct responses based on user proficiency is presented.
Abstract: Neuro-scientists are increasingly relying on parallel and distributed computing resources for analysis and visualization of their neuron simulations. Although science gateways have democratized relevant high performance/throughput resources, users require expert knowledge about programming and infrastructure configuration that is beyond the repertoire of most neuroscience programs. These factors become deterrents for the successful adoption and the ultimate diffusion (i.e., systemic spread) of science gateways in the neuroscience community. In this paper, we present a novel intuitionistic fuzzy logic based conversational recommender that can provide guidance to users when using science gateways for research and education workflows. The users interact with a context-aware chatbot that is embedded within custom web-portals to obtain simulation tools/resources to accomplish their goals. In order to ensure user goals are met, the chatbot profiles a user’s cyberinfrastructure and neuroscience domain proficiency level using a ‘usability quadrant’ approach. Simulation of user queries for an exemplary neuroscience use case demonstrates that our chatbot can provide step-by-step navigational support and generate distinct responses based on user proficiency.

10 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023916
20221,413
2021564
2020617
2019528
2018326