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Interfaţa în limbaj natural pentru bazele de date ale sistemelor de întrebare – răspuns (QA)

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dc.contributor.author POPESCU, Anatol
dc.contributor.author MAXIM, Victoria
dc.date.accessioned 2019-11-10T13:54:55Z
dc.date.available 2019-11-10T13:54:55Z
dc.date.issued 2011
dc.identifier.citation POPESCU, Anatol, MAXIM, Victoria. Interfaţa în limbaj natural pentru bazele de date ale sistemelor de întrebare – răspuns (QA). In: Microelectronics and Computer Science: proc. of the 7th intern. Conf., September 22-24, 2011. Chişinău, 2011, vol. 1, pp. 387-388. ISBN 978-9975-45-174-1. en_US
dc.identifier.isbn 978-9975-45-174-1
dc.identifier.uri http://repository.utm.md/handle/5014/6510
dc.description.abstract A natural language search engine would in theory find targeted answers to user questions (as opposed to keyword search). For example, when confronted with a question of the form 'which U.S. state has the highest income tax?', conventional search engines ignore the question and instead do a search on the keywords 'state, income and tax'. Natural language search, on the other hand, attempts to use natural language processing to understand the nature of the question and then to search and return a subset of the web that contains the answer to the question. If it works, results would have a higher relevance than results from a keyword search engine. From a commercial standpoint, advertising on the results page could also be more relevant and could have a higher revenue potential than that of keyword search engines. en_US
dc.language.iso ro en_US
dc.publisher Technical University of Moldova en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject databases en_US
dc.subject interface en_US
dc.subject natural language en_US
dc.subject search engine en_US
dc.subject query en_US
dc.title Interfaţa în limbaj natural pentru bazele de date ale sistemelor de întrebare – răspuns (QA) en_US
dc.type Article en_US


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