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Open AccessJournal Article

Natural language interactions with artificial experts

Tim Finin, +2 more
- 01 Mar 1991 - 
- pp 279-296
TLDR
In this paper, the authors justify why Natural Language (NL) interaction is critical to the effective use of Expert Systems and describe what is needed and what has been done to support such interaction.
Abstract
The aim of this paper is to justify why Natural Language (NL) interaction, of a very rich functionality, is critical to the effective use of Expert Systems and to describe what is needed and what has been done to support such interaction. Interactive functions discussed here include defining terms, paraphrasing, correcting misconceptions, avoiding misconceptions, and modifying questions.

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The Architecture of a Cooperative Respondent (Dissertation Proposal)

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References
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Research and Development in Information Retrieval

TL;DR: The research and development in information retrieval is universally compatible with any devices to read, and can be downloaded instantly from the authors' digital library.
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Theory of Human Action

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Analyzing intention in utterances

TL;DR: It is shown that, given a setting in which purposeful dialogues occur, this model of cooperative behavior can account for responses that provide more information that explicitly requested and for appropriate responses to both short sentence fragments and indirect speech acts.
Book

A Formal Theory of Knowledge and Action

TL;DR: In this article, the authors present a theory of action in which these problems are taken into account, showing how to formalize both the knowledge prerequisites of action and the effects of action on knowledge.
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An English language question answering system for a large relational database

TL;DR: By typing requests in English, casual users will be able to obtain explicit answers from a large relational database of aircraft flight and maintenance data using a system called PLANES, which uses a number of augmented transition networks to match phrases with a specific meaning.
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