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.
References in periodicals archive ?
Therefore, this system has the potential to become not only as simple question-answering system but also an important aid to human intellectual activity.
A Question-Answering System for AP Chemistry: Assessing KR&R Technologies, 488-497.
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.
According to a report by BBC News, 'Watson' is a new question-answering system based on natural language.
2001) is claimed to be the first general-purpose, fully-automated question-answering system available on the web.
The focus of the question-answering system (QA) is on detecting and responding to events and trends more efficiently and enabling new business models.
In addition to receiving continuous, personalized business information, Core360's subscribers can use the portal's natural language question-answering system to ask a question in plain English and receive an answer in seconds from thousands of sources.
Watson is a recent question-answering system from IBM that outperformed humans in the game of Jeopardy (Ferrucci 2012).
They believe this process can be simplified via a Web-based question-answering system, called Q&A, which mediates interactions between an expert and the user.
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.
The result will be a knowledge base and improved question-answering system for the complete biology textbook.
To be a high-performing question-answering system, DeepQA must demonstrate both these properties to achieve high precision, high recall, and an accurate confidence estimation.