ALICE Chatbot: Trials and Outputs

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1. Verfasser: Bayan AbuShawar
Format: Artículo científico
Sprache:en
Veröffentlicht: Instituto Politécnico Nacional 2015
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author Bayan AbuShawar
author_facet Bayan AbuShawar
contents ALICE Chatbot: Trials and Outputs Bayan AbuShawar Eric Atwell Computación AIML ALICE corpus Chatbot machine learning A chatbot is a conversational agent that interacts with users using natural language. Multi chatbots are available to serve in different domains. However, the knowledge base of chatbots is hand coded in its brain. This paper presents an overview of ALICE chatbot, its AIML format, and our experiments to generate different prototypes of ALICE automatically based on a corpus approach. A description of developed software which converts readable text (corpus) into AIML format is presented alongside with describing the different corpora we used. Our trials revealed the possibility of generating useful prototypes without the need for sophisticated natural language processing or complex machine learning techniques. These prototypes were used as tools to practice different languages, to visualize corpus, and to provide answers for questions. 2015 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61543181002 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.19
format Artículo científico
id redalyc_61543181002
institution Redalyc
language en
publishDate 2015
publisher Instituto Politécnico Nacional
spellingShingle ALICE Chatbot: Trials and Outputs
Bayan AbuShawar
Computación
AIML
ALICE
corpus
Chatbot
machine learning
ALICE Chatbot: Trials and Outputs Bayan AbuShawar Eric Atwell Computación AIML ALICE corpus Chatbot machine learning A chatbot is a conversational agent that interacts with users using natural language. Multi chatbots are available to serve in different domains. However, the knowledge base of chatbots is hand coded in its brain. This paper presents an overview of ALICE chatbot, its AIML format, and our experiments to generate different prototypes of ALICE automatically based on a corpus approach. A description of developed software which converts readable text (corpus) into AIML format is presented alongside with describing the different corpora we used. Our trials revealed the possibility of generating useful prototypes without the need for sophisticated natural language processing or complex machine learning techniques. These prototypes were used as tools to practice different languages, to visualize corpus, and to provide answers for questions. 2015 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61543181002 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.19
title ALICE Chatbot: Trials and Outputs
topic Computación
AIML
ALICE
corpus
Chatbot
machine learning
url https://www.redalyc.org/articulo.oa?id=61543181002