Researchers have employed a variety of methods to improve their chatbot’s accuracy. Most current chatbots use a dialog management module and knowledge base and rules, which they use with templates to match user input. Improving chatbot accuracy may be accomplished through expanding the chatbot knowledge base, improving upon the standard rule-based conversation method for chatbots, [...]
The major goal of building a better chatbot is to improve its interactions with humans. A wide variety of techniques including developing different architectures, incorporating quirks or tricks, or using different machine learning approaches have been used to improve either chatbot accuracy or human-like qualities. First, some ways that researchers are trying to improve human-like [...]
Chatbots need to effectively process natural language. Since starting around the 1960′s, natural language processing (NLP) research has had slow progress until the 1990′s (Lester, Branting, & Mott, 2004). NLP research has been greatly enhanced by development of large corpora of tagged text, as well as by development of better statistical machine learning and other [...]
Chat Robot (Chatbot) Research: Studying the use of chatbots as natural language interface to improve the capability of computers to communicate with humans. Intelligent work flow: Using Artificial Intelligence techniques to develop an intelligent knowledge management system that continuously acquire, filter, organize and reuse a knowledge base to solve interoperability. Intelligent Personal Assistant (iAvatar): Creating [...]
¶
Posted 10 June 2007
† Robert Whetsel
§
Authors
‡
°
Also tagged: artificial intelligence, autonomic intelligent computing, Chat Robot, data mining, encryption, Intelligent Personal Assistant, knowledge management system, Linux, natural language processing, Robert Whetsel, social networking, text mining, user systems