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.
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23 Apr 2018
TL;DR: The DBpedia chatbot is introduced, a knowledge-graph-driven chatbot designed to optimize community interaction that was designed for integration into community software to facilitate the answering of recurrent questions.
Abstract: In this demo, we introduce the DBpedia chatbot, a knowledge-graph-driven chatbot designed to optimize community interaction. The bot was designed for integration into community software to facilitate the answering of recurrent questions. Four main challenges were addressed when building the chatbot, namely (1) understanding user queries, (2) fetching relevant information based on the queries, (3) tailoring the responses based on the standards of each output platform (i.e. Web, Slack, Facebook) as well as (4) developing subsequent user interactions with the DBpedia chatbot. With this demo, we will showcase our solutions to these four challenges.
42 citations
42 citations
Patent•
26 Oct 2012
TL;DR: In this paper, a chatbot system and method with contextual input/output messages is presented, which includes a processor, an interactive dialog interface and a knowledge database, and a script file to display input and output messages in a tree format.
Abstract: A chatbot system and method with contextual input/output messages. A chatbot includes a processor, an interactive dialog interface and a knowledge database. The system uses a script file to display input and output messages in a tree format. An initial input or output message is stored. An identifier is assigned to the initial input or output message that is then used as context for the subsequent input/output messages by associating and storing the identifier with the subsequent input/output messages. The relationship between the first input or output message and subsequent input/output messages define a parent-child relationship that is displayable via the script file.
42 citations
12 Jun 2019
TL;DR: The project is about interaction between users and chatbot which can be accessed from anywhere anytime and provides various information related to university or college and also students-related information.
Abstract: Most of the time, Students have to visit universities or colleges to collect various information like Tution fees, Term Schedule, etc. during their admission process or as per their daily needs. This process is very tedious and time consuming, also it requires manpower in providing required information to visitors. Hence, to overcome the problems a chatbot can be developed. The project is about interaction between users and chatbot which can be accessed from anywhere anytime. The chatbot can be easily attached with any university or college website with few simple language conversions. Chatbot provides various information related to university or college and also students-related information. The chatbot can be used by anyone who can access the university’s website. The project uses the concept of Artificial Intelligence and Machine Learning. PHP Language is utilized for the development of Chatbot. User can ask university-related questions, then the query is applied as an input to algorithm, which processes the message and displays the corresponding response to the user. The Project GUI is similar to a Messaging Application.
42 citations
01 Apr 2018
TL;DR: Sounding Board, a social chatbot that won the 2017 Amazon Alexa Prize, consists of several components including spoken language processing, dialogue management, language generation, and content management with emphasis on user-centric and content-driven design as discussed by the authors.
Abstract: We present Sounding Board, a social chatbot that won the 2017 Amazon Alexa Prize. The system architecture consists of several components including spoken language processing, dialogue management, language generation, and content management, with emphasis on user-centric and content-driven design. We also share insights gained from large-scale online logs based on 160,000 conversations with real-world users.
41 citations