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Question answering systems in the context of [vague] machine reading applications have also been constructed in the medical domain, for instance related to [vague] Alzheimer's disease. [3] Open-domain question answering deals with questions about nearly anything and can only rely on general ontologies and world knowledge. Systems designed for ...
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.
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.
Brainly provides a platform where students, parents, and teachers help others with homework questions. The website is intended to strengthen student's skills across subjects such as English, mathematics, science, and social studies. The platform is utilises a peer-to-peer system where students can ask questions, and answer them for other students.
Pages in category "SMS-based question answering services" The following 7 pages are in this category, out of 7 total. ... Knowledge Generation Bureau; R.
The term knowledge generation bureau is from an advertising copy line, and is not the name of the company, which is kgb. In 2003, after the UK yellow pages directory market has been opened, kgb launched 118 118 (UK) , a UK directory enquiries provider that assists customers with telephone number enquiries and general queries.
WolframAlpha then computes answers and relevant visualizations from a knowledge base of curated, structured data that come from other sites and books. It can respond to particularly phrased natural language fact-based questions. It displays its "Input interpretation" of such a question, using standardized phrases.
Classification: Collective intelligence: Human-based computation: Social search: Knowledge markets: Question-and-answer websites Subcategories This category has only the following subcategory.