Tag Archives: natural language processing

Improving Chatbot Accuracy -Draft

This entry is part 5 of 13 in the series The State of Chatbots

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, [...]

Improving Human-Like Qualities of Chatbots -Draft

This entry is part 4 of 13 in the series The State of Chatbots

Some researchers are designing chatbots with the intent of integrating more natural human-like interactions (De Angeli & Brahnam, 2008). Specifically, the developer may program certain responses that would sacrifice accuracy, but confer more human-like traits (Sing et al., 2006). For example, if a chatbot is presented with a math problem it could wait, as if [...]

How do Humans View Chatbots? -Draft

This entry is part 2 of 13 in the series The State of Chatbots

Since chatbots have moved into the public realm, there has been interest in evaluating how users interact with chatbots. For example, after analyzing conversations with the chatbot jabberwacky, one study found that the topics and style of conversations were broad (De Angeli & Brahnam, 2008). Users displayed different attitudes ranging from nice to nasty and [...]

Natural Language Processing -Draft

This entry is part 8 of 13 in the series The State of Chatbots

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 [...]

How Chatbots Work -Draft

This entry is part 7 of 13 in the series The State of Chatbots

The goal of a chatbot is to simulate the human use of language which brings up several questions. How do humans use language between themselves in similar settings? How can computers be made to understand natural language? How does the chatbot know what to reply to a user’s input? (Saygin et al., 2000). In overall [...]

Request for Comments

This entry is part 1 of 13 in the series The State of Chatbots

I am requesting for comments on my research, please email me rwhetsel AT ravensong DOT com, for user rights if you are interested in helping me. FYI: I will be posting my references and bibTex files for my literature review when I finish my thesis. Chatbot Literature Review: The State of Chatbots “Do Chatbots Dream [...]

History – Significant Advances in Chatbot Development -Draft

This entry is part 5 of 13 in the series The State of Chatbots

ELIZA is considered one of the rst chatbots and was created at MIT by Weizenbaum (Weizenbaum, 1966). She was designed to be a psychotherapist, basing rules on the way psychotherapists ask  questions. Weizenbaum used his LISP list-processing language so that ELIZA could simply parse and substitute key words into canned phrases. The chatbot was rule-based [...]

Robert Whetsel’s Research Interests:

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 [...]