question-answering system

question-answering system

[′kwes·chən ′an·sə·riŋ ‚sis·təm]
(computer science)
An information retrieval system in which a direct answer is expected in response to a submitted query, rather than a set of references that may contain the answers.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
References in periodicals archive ?
Brooks, "A framework of a logic-based question-answering system for the medical domain (LOQAS-Med)," in Proceedings of the 2009 ACM Symposium on Applied Computing, pp.
Therefore, this system has the potential to become not only as simple question-answering system but also an important aid to human intellectual activity.
They cover development models, knowledge management, fuzzy logic, agent-based systems, artificial neural networks, genetic algorithms, and soft computing systems, with case studies of a multiagent e-learning system, diet planner, and a question-answering system. Basic computer science skills and a math background in set theory, relations, elementary probability, and introductory concepts of artificial intelligence are assumed.
According to a report by BBC News, 'Watson' is a new question-answering system based on natural language.
Another QA system, MULDER (Kwok et al., 2001) is claimed to be the first general-purpose, fully-automated question-answering system available on the web.
* How frequently do IPL question-answerers use internal features of the question-answering system?
A Question-Answering System for AP Chemistry: Assessing KR&R Technologies, 488-497.
The focus of the question-answering system (QA) is on detecting and responding to events and trends more efficiently and enabling new business models.
Watson is a recent question-answering system from IBM that outperformed humans in the game of Jeopardy (Ferrucci 2012).
Dave taught AI, and his passion and deep curiosity attracted top-notch visitors and more students; he and Gabriel fleshed out the computational infrastructure with a good Lisp system and tools; the two of them put together the proposal that led to the development of the Planes question-answering system, paving the way for an engineering-style approach to emergent AI techniques; and even though their first attempts to create a multidisciplinary AI degree program failed, Dave was able in the end to build a strong AI program at UIUC.