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Both question answering systems were very effective in their chosen domains. LUNAR was demonstrated at a lunar science convention in 1971 and it was able to answer 90% of the questions in its domain that were posed by people untrained on the system. Further restricted-domain question answering systems were developed in the following years.
The TAS system soon was succeeded by the EVE system; more powerful and taking advantage of early-model PCs and dumb terminals. By the late 1980s, AMTELCO's EVE (Electronic Video Exchange) system grew to become the most widely used business telephone answering equipment in the industry. Infinity replaced EVE as the flagship telephone switching ...
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The high-level architecture of IBM's DeepQA used in Watson [9]. Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open domain question answering.
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ChatGPT creator OpenAI has revealed new tools that it claims can consider their answer before they respond. The systems are aimed to reasoning more deeply so that they can better help with more ...
If even a small modification is made on the system, the process of constructing the expert system must be repeated. A slightly different approach is to build an expert system from a model of the system rather than directly from an expertise. An example is the computation of a diagnoser for the diagnosis of discrete event systems. This approach ...
A question and answer system (or Q&A system) is an online software system that attempts to answer questions asked by users.Q&A software is frequently integrated by large and specialist corporations and tends to be implemented as a community that allows users in similar fields to discuss questions and provide answers to common and specialist questions.