. . . . "\u0412\u043E\u043F\u0440\u043E\u0441\u043D\u043E-\u043E\u0442\u0432\u0435\u0442\u043D\u0430\u044F \u0441\u0438\u0441\u0442\u0435\u043C\u0430"@ru . . "Question answering \u2013 zadanie automatycznego odpowiadania na pytania zadane w j\u0119zyku naturalnym komputerowi. \u017Beby znale\u017A\u0107 odpowied\u017A na pytanie, program komputerowy typu QA mo\u017Ce u\u017Cywa\u0107 wzorc\u00F3w zawartych w bazach danych b\u0105d\u017A zbioru materia\u0142\u00F3w (korpus taki jak strona w sieci www b\u0105d\u017A lokalne dokumenty). System powinien radzi\u0107 sobie z szerok\u0105 gam\u0105 r\u00F3\u017Cnych typ\u00F3w pyta\u0144, zar\u00F3wno prostych (np. co? gdzie?), jak i definicji czy te\u017C hipotetycznych."@pl . . . . . . . . "360030"^^ . . . "\uC815\uBCF4 \uAC80\uC0C9\uC5D0\uC11C \uC9C8\uBB38 \uC751\uB2F5(Question answering)\uC774\uB780 \uC0AC\uC6A9\uC790\uB85C\uBD80\uD130 \uBC1B\uC740 \uD2B9\uC815\uD55C \uC885\uB958\uC758 \uC815\uBCF4\uC5D0 \uB300\uD55C \uC9C8\uBB38\uC744 \uC790\uC5F0\uC5B4\uB85C \uBC1B\uC544\uB4E4\uC5EC \uD574\uB2F5\uC744 \uC8FC\uB294 \uCEF4\uD4E8\uD130 \uC18C\uD504\uD2B8\uC6E8\uC5B4\uC774\uB2E4. \uD574\uB2F5\uC740 \uBB38\uC7A5\uC774\uB098 \uC9C8\uBB38\uC5D0 \uB300\uD55C \uC9C1\uC811\uC801 \uB2F5\uC774 \uB300\uBD80\uBD84\uC774\uB2E4. \uAC80\uC0C9 \uC5D4\uC9C4\uC744 \uC774\uC6A9\uD558\uAC70\uB098 \uBC31\uACFC\uC0AC\uC804 \uB4F1\uC744 \uC774\uC6A9\uD558\uAC70\uB098 \uB2E4\uC591\uD55C \uB370\uC774\uD130\uBCA0\uC774\uC2A4\uB97C \uBC14\uD0D5\uC73C\uB85C \uAC80\uC0C9\uD55C\uB2E4. \uAE30\uBCF8\uC801\uC778 \uCC98\uB9AC \uD750\uB984\uC740 \uC544\uB798\uC640 \uAC19\uB2E4. \n* \uC9C8\uBB38 \uBD84\uC11D (\uC9C8\uBB38\uC744 \uB2E8\uC5B4\uB098 \uB9C8\uB514 \uB4F1, \uAC80\uC0C9 \uC5D4\uC9C4\uC758 query\uB85C \uBCC0\uD658) \n* \uAC80\uC0C9 \uC5D4\uC9C4 (\uC5EC\uAE30\uC5D0\uC11C\uB294 AND \uAC80\uC0C9 \uB4F1\uC758 query\uB97C \uB358\uC9C0\uB294 \uAC83\uC774 \uB9CE\uB2E4) \n* \uC5C4\uC120 (\uCDE8\uB4DD\uD55C \uBB38\uC7A5\uC73C\uB85C\uBD80\uD130 \uD574\uB2F5 \uBD80\uBD84\uC744 \uCD94\uCD9C) \n* \uACB0\uACFC \uD45C\uC2DC (\uD574\uB2F5\uC744 \uAC80\uC0C9 \uC5D4\uC9C4\uC774 \uB9E4\uAE34 \uC810\uC218\uC5D0 \uB530\uB978 \uC21C\uC11C\uB85C \uBC14\uAFD4 \uD45C\uC2DC) \uC9C8\uBB38 \uC751\uB2F5\uC740 \uC815\uBCF4 \uAC80\uC0C9, \uC815\uBCF4 \uCD94\uCD9C, \uC790\uC5F0\uC5B4 \uCC98\uB9AC \uB4F1 \uB2E4\uC218 \uBD84\uC57C\uC5D0 \uAC78\uCE58\uB294 \uAE30\uC220\uC774 \uC774\uC6A9\uB418\uACE0 \uC788\uB2E4."@ko . . "Un syst\u00E8me de questions-r\u00E9ponses (question answering system en anglais, ou QA system) est un syst\u00E8me informatique permettant de r\u00E9pondre automatiquement \u00E0 des questions pos\u00E9es par des humains, lors d'un \u00E9change fait en langue naturelle (comme le fran\u00E7ais). La discipline li\u00E9e appartient aux domaines du traitement automatique de la langue et de la recherche d'information. Elle se d\u00E9marque de l'interrogation de moteurs de recherche en cela qu'elle vise non seulement \u00E0 r\u00E9cup\u00E9rer les documents pertinents d'une collection de textes, mais \u00E9galement \u00E0 formuler une r\u00E9ponse tr\u00E8s cibl\u00E9e \u00E0 la question pos\u00E9e."@fr . . . . . . . "Question answering"@it . . . . "\u041F\u0438\u0442\u0430\u0301\u043B\u044C\u043D\u043E-\u0432\u0456\u0434\u043F\u043E\u0432\u0456\u0434\u043D\u0430\u0301 \u0441\u0438\u0441\u0442\u0435\u0301\u043C\u0430, \u0434\u043E\u0432\u0456\u0434\u043A\u043E\u0432\u0430 \u0441\u0438\u0441\u0442\u0435\u043C\u0430 (\u0430\u043D\u0433\u043B. Question-answering system) \u2014 \u0446\u0435 \u043E\u0441\u043E\u0431\u043B\u0438\u0432\u0438\u0439 \u0442\u0438\u043F \u0456\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0456\u0439\u043D\u0438\u0445 \u0441\u0438\u0441\u0442\u0435\u043C, \u044F\u043A\u0456 \u0454 \u0433\u0456\u0431\u0440\u0438\u0434\u043E\u043C \u043F\u043E\u0448\u0443\u043A\u043E\u0432\u0438\u0445 \u0442\u0430 \u0456\u043D\u0442\u0435\u043B\u0435\u043A\u0442\u0443\u0430\u043B\u044C\u043D\u0438\u0445 \u0441\u0438\u0441\u0442\u0435\u043C (\u0447\u0430\u0441\u0442\u043E \u0432\u043E\u043D\u0438 \u0440\u043E\u0437\u0433\u043B\u044F\u0434\u0430\u044E\u0442\u044C\u0441\u044F \u044F\u043A \u0456\u043D\u0442\u0435\u043B\u0435\u043A\u0442\u0443\u0430\u043B\u044C\u043D\u0456 \u043F\u043E\u0448\u0443\u043A\u043E\u0432\u0456 \u0441\u0438\u0441\u0442\u0435\u043C\u0438). QA-\u0441\u0438\u0441\u0442\u0435\u043C\u0430 \u043F\u043E\u0432\u0438\u043D\u043D\u0430 \u0431\u0443\u0442\u0438 \u0437\u0434\u0430\u0442\u043D\u0430 \u043F\u0440\u0438\u0439\u043C\u0430\u0442\u0438 \u043F\u0438\u0442\u0430\u043D\u043D\u044F \u043F\u0440\u0438\u0440\u043E\u0434\u043D\u043E\u044E \u043C\u043E\u0432\u043E\u044E, \u0442\u043E\u0431\u0442\u043E \u0446\u0435 \u0441\u0438\u0441\u0442\u0435\u043C\u0430 \u0437 . \u0406\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0456\u044F \u043D\u0430\u0434\u0430\u0454\u0442\u044C\u0441\u044F \u043D\u0430 \u043E\u0441\u043D\u043E\u0432\u0456 \u0434\u043E\u043A\u0443\u043C\u0435\u043D\u0442\u0456\u0432 \u0437 \u043C\u0435\u0440\u0435\u0436\u0456 \u0406\u043D\u0442\u0435\u0440\u043D\u0435\u0442 \u0430\u0431\u043E \u0437 \u043B\u043E\u043A\u0430\u043B\u044C\u043D\u043E\u0433\u043E \u0441\u0445\u043E\u0432\u0438\u0449\u0430. \u0421\u0443\u0447\u0430\u0441\u043D\u0456 \u0440\u043E\u0437\u0440\u043E\u0431\u043A\u0438 QA-\u0441\u0438\u0441\u0442\u0435\u043C \u0434\u043E\u0437\u0432\u043E\u043B\u044F\u044E\u0442\u044C \u043E\u0431\u0440\u043E\u0431\u043B\u044F\u0442\u0438 \u043C\u043D\u043E\u0436\u0438\u043D\u0443 \u0432\u0430\u0440\u0456\u0430\u043D\u0442\u0456\u0432 \u0437\u0430\u043F\u0438\u0442\u0456\u0432 \u0444\u0430\u043A\u0442\u0456\u0432, \u0441\u043F\u0438\u0441\u043A\u0456\u0432, \u0434\u0435\u0444\u0456\u043D\u0456\u0446\u0456\u0439, \u043F\u0438\u0442\u0430\u043D\u044C \u0442\u0438\u043F\u0443 \u042F\u043A, \u0427\u043E\u043C\u0443, \u0433\u0456\u043F\u043E\u0442\u0435\u0442\u0438\u0447\u043D\u0438\u0445, \u0441\u043A\u043B\u0430\u0434\u043D\u0438\u0445 \u0442\u0430 \u043C\u0456\u0436\u043C\u043E\u0432\u043D\u0438\u0445."@uk . . . . . . . "Nell'information retrieval, il question answering (QA) consiste nel rispondere automaticamente a una domanda espressa in una lingua naturale. Per trovare la risposta a una domanda, un programma di QA pu\u00F2 utilizzare una base di conoscenza o una raccolta di documenti in lingua naturale (un corpus quale il World Wide Web o altre collezioni locali)."@it . . "Galdera-erantzun sistemak informazioaren berreskurapenaren arloaren barruan sartzen dira."@eu . "\u041F\u0438\u0442\u0430\u043B\u044C\u043D\u043E-\u0432\u0456\u0434\u043F\u043E\u0432\u0456\u0434\u043D\u0430 \u0441\u0438\u0441\u0442\u0435\u043C\u0430"@uk . "Cerca de respostes"@ca . . . . . "\u0412\u043E\u043F\u0440\u043E\u0441\u043D\u043E-\u043E\u0442\u0432\u0435\u0442\u043D\u0430\u044F \u0441\u0438\u0441\u0442\u0435\u043C\u0430 (QA-\u0441\u0438\u0441\u0442\u0435\u043C\u0430; \u043E\u0442 \u0430\u043D\u0433\u043B. QA \u2014 \u0430\u043D\u0433\u043B. Question-answering system) \u2014 \u0438\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0438\u043E\u043D\u043D\u0430\u044F \u0441\u0438\u0441\u0442\u0435\u043C\u0430, \u0441\u043F\u043E\u0441\u043E\u0431\u043D\u0430\u044F \u043F\u0440\u0438\u043D\u0438\u043C\u0430\u0442\u044C \u0432\u043E\u043F\u0440\u043E\u0441\u044B \u0438 \u043E\u0442\u0432\u0435\u0447\u0430\u0442\u044C \u043D\u0430 \u043D\u0438\u0445 \u043D\u0430 \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043D\u043D\u043E\u043C \u044F\u0437\u044B\u043A\u0435, \u0434\u0440\u0443\u0433\u0438\u043C\u0438 \u0441\u043B\u043E\u0432\u0430\u043C\u0438, \u044D\u0442\u043E \u0441\u0438\u0441\u0442\u0435\u043C\u0430 \u0441 \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043D\u043D\u043E-\u044F\u0437\u044B\u043A\u043E\u0432\u044B\u043C \u0438\u043D\u0442\u0435\u0440\u0444\u0435\u0439\u0441\u043E\u043C."@ru . . . . "\u0412\u043E\u043F\u0440\u043E\u0441\u043D\u043E-\u043E\u0442\u0432\u0435\u0442\u043D\u0430\u044F \u0441\u0438\u0441\u0442\u0435\u043C\u0430 (QA-\u0441\u0438\u0441\u0442\u0435\u043C\u0430; \u043E\u0442 \u0430\u043D\u0433\u043B. QA \u2014 \u0430\u043D\u0433\u043B. Question-answering system) \u2014 \u0438\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0438\u043E\u043D\u043D\u0430\u044F \u0441\u0438\u0441\u0442\u0435\u043C\u0430, \u0441\u043F\u043E\u0441\u043E\u0431\u043D\u0430\u044F \u043F\u0440\u0438\u043D\u0438\u043C\u0430\u0442\u044C \u0432\u043E\u043F\u0440\u043E\u0441\u044B \u0438 \u043E\u0442\u0432\u0435\u0447\u0430\u0442\u044C \u043D\u0430 \u043D\u0438\u0445 \u043D\u0430 \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043D\u043D\u043E\u043C \u044F\u0437\u044B\u043A\u0435, \u0434\u0440\u0443\u0433\u0438\u043C\u0438 \u0441\u043B\u043E\u0432\u0430\u043C\u0438, \u044D\u0442\u043E \u0441\u0438\u0441\u0442\u0435\u043C\u0430 \u0441 \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043D\u043D\u043E-\u044F\u0437\u044B\u043A\u043E\u0432\u044B\u043C \u0438\u043D\u0442\u0435\u0440\u0444\u0435\u0439\u0441\u043E\u043C."@ru . . . . "Question answering"@en . . . "\u554F\u7B54\u7CFB\u7D71(Question Answering System\uFF0CQA System)\uFF0C\u662F\u672A\u4F86\u81EA\u7136\u8A9E\u8A00\u8655\u7406\u7684\u660E\u65E5\u4E4B\u661F\u3002\u554F\u7B54\u7CFB\u7D71\u5916\u90E8\u7684\u884C\u70BA\u4E0A\u4F86\u770B\uFF0C\u5176\u8207\u76EE\u524D\u4E3B\u6D41\u8CC7\u8A0A\u6AA2\u7D22\u6280\u8853\u6709\u5169\u9EDE\u4E0D\u540C\uFF1A\u9996\u5148\u662F\u67E5\u8A62\u65B9\u5F0F\u70BA\u5B8C\u6574\u800C\u53E3\u8A9E\u5316\u7684\u554F\u53E5\uFF0C\u518D\u4F86\u5247\u662F\u5176\u56DE\u50B3\u7684\u70BA\u9AD8\u7CBE\u6E96\u5EA6\u7DB2\u9801\u7D50\u679C\u6216\u660E\u78BA\u7684\u7B54\u6848\u5B57\u4E32\u3002\u4EE5Ask Jeeves\u70BA\u4F8B\uFF0C\u4F7F\u7528\u8005\u4E0D\u9700\u8981\u601D\u8003\u8A72\u4F7F\u7528\u751A\u9EBC\u6A23\u7684\u554F\u6CD5\u624D\u80FD\u5920\u5F97\u5230\u7406\u60F3\u7684\u7B54\u6848\uFF0C\u53EA\u9700\u8981\u7528\u53E3\u8A9E\u5316\u7684\u65B9\u5F0F\u76F4\u63A5\u63D0\u554F\u5982\u300C\u8ACB\u554F\u8AB0\u662F\u7F8E\u570B\u7E3D\u7D71\uFF1F\u300D\u5373\u53EF\u3002\u800C\u7CFB\u7D71\u5728\u77AD\u89E3\u4F7F\u7528\u8005\u554F\u53E5\u5F8C\uFF0C\u6703\u975E\u5E38\u6E05\u695A\u5730\u56DE\u7B54\u300C\u7279\u6717\u666E\u662F\u7F8E\u570B\u7E3D\u7D71\u300D\u3002\u9762\u5C0D\u9019\u7A2E\u7CFB\u7D71\uFF0C\u4F7F\u7528\u8005\u4E0D\u9700\u8981\u8CBB\u5FC3\u53BB\u4E00\u4E00\u6AA2\u8996\u641C\u5C0B\u5F15\u64CE\u56DE\u50B3\u7684\u7DB2\u9801\uFF0C\u5C0D\u65BC\u8CC7\u8A0A\u6AA2\u7D22\u7684\u6548\u7387\u8207\u8CC7\u8A0A\u7684\u666E\u53CA\u90FD\u6709\u5F88\u5927\u5E6B\u52A9\u3002\u5F9E\u7CFB\u7D71\u5167\u90E8\u4F86\u770B\uFF0C\u554F\u7B54\u7CFB\u7D71\u4F7F\u7528\u4E86\u5927\u91CF\u6709\u5225\u65BC\u50B3\u7D71\u8CC7\u8A0A\u6AA2\u7D22\u7CFB\u7D71\u81EA\u7136\u8A9E\u8A00\u8655\u7406\u6280\u8853\uFF0C\u5982\u81EA\u7136\u8A9E\u8A00\u5256\u6790\uFF08Natural Language Parsing\uFF09\u3001\u554F\u984C\u5206\u985E\uFF08Question Classification\uFF09\u3001\u5C08\u540D\u8FA8\u8B58\uFF08Named Entity Recognition\uFF09\u7B49\u7B49\u3002\u5C11\u6578\u7CFB\u7D71\u751A\u81F3\u6703\u4F7F\u7528\u8907\u96DC\u7684\u908F\u8F2F\u63A8\u7406\u6A5F\u5236\uFF0C\u4F86\u5340\u9694\u51FA\u9700\u8981\u63A8\u7406\u6A5F\u5236\u624D\u80FD\u5920\u5340\u9694\u51FA\u4F86\u7684\u7B54\u6848\u3002\u5728\u7CFB\u7D71\u6240\u4F7F\u7528\u7684\u8CC7\u6599\u4E0A\uFF0C\u9664\u4E86\u50B3\u7D71\u8CC7\u8A0A\u6AA2\u7D22\u6703\u4F7F\u7528\u5230\u7684\u8CC7\u6599\u5916\uFF08\u5982\u5B57\u5178\uFF09\uFF0C\u554F\u7B54\u7CFB\u7D71\u9084\u6703\u4F7F\u7528\u672C\u9AD4\u8AD6\u7B49\u8A9E\u4E49\u8CC7\u6599\uFF0C\u6216\u8005\u5229\u7528\u7DB2\u9801\u4F86\u589E\u52A0\u8CC7\u6599\u7684\u8C50\u5BCC\u6027\u3002 \u622A\u81F3\u76EE\u524D\u70BA\u6B62\uFF0C\u6700\u8457\u540D\u7684\u554F\u7B54\u7CFB\u7D71\u61C9\u5C6CIBM\u7684\u6C83\u68EE\u7CFB\u7D71\u3002\u8A72\u7CFB\u7D71\u57282011\u5E74\u65BCJeopardy\u7BC0\u76EE\u4E2D\uFF0C\u8207\u4EBA\u985E\u540C\u5834\u8F03\u52C1\uFF0C\u4E26\u7372\u5F97\u6700\u5F8C\u7684\u52DD\u5229\u3002"@zh . . . . "\uC9C8\uC758 \uC751\uB2F5"@ko . . . . . "La cerca de respostes, en angl\u00E8s Question-Answering (QA) \u00E9s un tipus de recuperaci\u00F3 de la informaci\u00F3. Donada una certa quantitat de documents (tals com World Wide Web), el sistema hauria de ser capa\u00E7 de recuperar respostes a preguntes plantejades en llengua natural. QA \u00E9s observat com un m\u00E8tode que requereix una tecnologia de Processament de llenguatge natural m\u00E9s complexa que altres tipus de sistemes per a la , i, en alguns casos, se li observa com un pas per davant de la tecnologia del cercador. Un sistema de question answering \u00E9s un dels sistemes m\u00E9s complexos entorn de la recuperaci\u00F3 d'informaci\u00F3. Devem tenir en compte que un sistema basat en el question-answering \u00E9s molt m\u00E9s dif\u00EDcil que un sistema normal que s'encarrega de buscar una informaci\u00F3 en una quantitat m\u00E9s o menys gran de documents, ja que aquests ha d'extreure d'aquests documents un fragment de text (m\u00EDnim) que respongui a una pregunta donada en llenguatge natural. Aquests sistemes estan molt lligats als cercadors web. Un sistema de question-answering intenta recon\u00E8ixer un ampli rang de tipus de q\u00FCestions, incloent fets, llestes, definicions, com, quan, on, per qu\u00E8, etc. Aquestes cerques poden variar des de petites col\u00B7leccions de documents locals, organitzacions internes de documents, fins a la web sencera (o una part d'ella)."@ca . "B\u00FAsqueda de respuestas"@es . . . . "La cerca de respostes, en angl\u00E8s Question-Answering (QA) \u00E9s un tipus de recuperaci\u00F3 de la informaci\u00F3. Donada una certa quantitat de documents (tals com World Wide Web), el sistema hauria de ser capa\u00E7 de recuperar respostes a preguntes plantejades en llengua natural. QA \u00E9s observat com un m\u00E8tode que requereix una tecnologia de Processament de llenguatge natural m\u00E9s complexa que altres tipus de sistemes per a la , i, en alguns casos, se li observa com un pas per davant de la tecnologia del cercador."@ca . . . . . . "\u041F\u0438\u0442\u0430\u0301\u043B\u044C\u043D\u043E-\u0432\u0456\u0434\u043F\u043E\u0432\u0456\u0434\u043D\u0430\u0301 \u0441\u0438\u0441\u0442\u0435\u0301\u043C\u0430, \u0434\u043E\u0432\u0456\u0434\u043A\u043E\u0432\u0430 \u0441\u0438\u0441\u0442\u0435\u043C\u0430 (\u0430\u043D\u0433\u043B. Question-answering system) \u2014 \u0446\u0435 \u043E\u0441\u043E\u0431\u043B\u0438\u0432\u0438\u0439 \u0442\u0438\u043F \u0456\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0456\u0439\u043D\u0438\u0445 \u0441\u0438\u0441\u0442\u0435\u043C, \u044F\u043A\u0456 \u0454 \u0433\u0456\u0431\u0440\u0438\u0434\u043E\u043C \u043F\u043E\u0448\u0443\u043A\u043E\u0432\u0438\u0445 \u0442\u0430 \u0456\u043D\u0442\u0435\u043B\u0435\u043A\u0442\u0443\u0430\u043B\u044C\u043D\u0438\u0445 \u0441\u0438\u0441\u0442\u0435\u043C (\u0447\u0430\u0441\u0442\u043E \u0432\u043E\u043D\u0438 \u0440\u043E\u0437\u0433\u043B\u044F\u0434\u0430\u044E\u0442\u044C\u0441\u044F \u044F\u043A \u0456\u043D\u0442\u0435\u043B\u0435\u043A\u0442\u0443\u0430\u043B\u044C\u043D\u0456 \u043F\u043E\u0448\u0443\u043A\u043E\u0432\u0456 \u0441\u0438\u0441\u0442\u0435\u043C\u0438). QA-\u0441\u0438\u0441\u0442\u0435\u043C\u0430 \u043F\u043E\u0432\u0438\u043D\u043D\u0430 \u0431\u0443\u0442\u0438 \u0437\u0434\u0430\u0442\u043D\u0430 \u043F\u0440\u0438\u0439\u043C\u0430\u0442\u0438 \u043F\u0438\u0442\u0430\u043D\u043D\u044F \u043F\u0440\u0438\u0440\u043E\u0434\u043D\u043E\u044E \u043C\u043E\u0432\u043E\u044E, \u0442\u043E\u0431\u0442\u043E \u0446\u0435 \u0441\u0438\u0441\u0442\u0435\u043C\u0430 \u0437 . \u0406\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0456\u044F \u043D\u0430\u0434\u0430\u0454\u0442\u044C\u0441\u044F \u043D\u0430 \u043E\u0441\u043D\u043E\u0432\u0456 \u0434\u043E\u043A\u0443\u043C\u0435\u043D\u0442\u0456\u0432 \u0437 \u043C\u0435\u0440\u0435\u0436\u0456 \u0406\u043D\u0442\u0435\u0440\u043D\u0435\u0442 \u0430\u0431\u043E \u0437 \u043B\u043E\u043A\u0430\u043B\u044C\u043D\u043E\u0433\u043E \u0441\u0445\u043E\u0432\u0438\u0449\u0430. \u0421\u0443\u0447\u0430\u0441\u043D\u0456 \u0440\u043E\u0437\u0440\u043E\u0431\u043A\u0438 QA-\u0441\u0438\u0441\u0442\u0435\u043C \u0434\u043E\u0437\u0432\u043E\u043B\u044F\u044E\u0442\u044C \u043E\u0431\u0440\u043E\u0431\u043B\u044F\u0442\u0438 \u043C\u043D\u043E\u0436\u0438\u043D\u0443 \u0432\u0430\u0440\u0456\u0430\u043D\u0442\u0456\u0432 \u0437\u0430\u043F\u0438\u0442\u0456\u0432 \u0444\u0430\u043A\u0442\u0456\u0432, \u0441\u043F\u0438\u0441\u043A\u0456\u0432, \u0434\u0435\u0444\u0456\u043D\u0456\u0446\u0456\u0439, \u043F\u0438\u0442\u0430\u043D\u044C \u0442\u0438\u043F\u0443 \u042F\u043A, \u0427\u043E\u043C\u0443, \u0433\u0456\u043F\u043E\u0442\u0435\u0442\u0438\u0447\u043D\u0438\u0445, \u0441\u043A\u043B\u0430\u0434\u043D\u0438\u0445 \u0442\u0430 \u043C\u0456\u0436\u043C\u043E\u0432\u043D\u0438\u0445."@uk . . . . . . . "Un syst\u00E8me de questions-r\u00E9ponses (question answering system en anglais, ou QA system) est un syst\u00E8me informatique permettant de r\u00E9pondre automatiquement \u00E0 des questions pos\u00E9es par des humains, lors d'un \u00E9change fait en langue naturelle (comme le fran\u00E7ais). La discipline li\u00E9e appartient aux domaines du traitement automatique de la langue et de la recherche d'information. Elle se d\u00E9marque de l'interrogation de moteurs de recherche en cela qu'elle vise non seulement \u00E0 r\u00E9cup\u00E9rer les documents pertinents d'une collection de textes, mais \u00E9galement \u00E0 formuler une r\u00E9ponse tr\u00E8s cibl\u00E9e \u00E0 la question pos\u00E9e."@fr . . . "\uC815\uBCF4 \uAC80\uC0C9\uC5D0\uC11C \uC9C8\uBB38 \uC751\uB2F5(Question answering)\uC774\uB780 \uC0AC\uC6A9\uC790\uB85C\uBD80\uD130 \uBC1B\uC740 \uD2B9\uC815\uD55C \uC885\uB958\uC758 \uC815\uBCF4\uC5D0 \uB300\uD55C \uC9C8\uBB38\uC744 \uC790\uC5F0\uC5B4\uB85C \uBC1B\uC544\uB4E4\uC5EC \uD574\uB2F5\uC744 \uC8FC\uB294 \uCEF4\uD4E8\uD130 \uC18C\uD504\uD2B8\uC6E8\uC5B4\uC774\uB2E4. \uD574\uB2F5\uC740 \uBB38\uC7A5\uC774\uB098 \uC9C8\uBB38\uC5D0 \uB300\uD55C \uC9C1\uC811\uC801 \uB2F5\uC774 \uB300\uBD80\uBD84\uC774\uB2E4. \uAC80\uC0C9 \uC5D4\uC9C4\uC744 \uC774\uC6A9\uD558\uAC70\uB098 \uBC31\uACFC\uC0AC\uC804 \uB4F1\uC744 \uC774\uC6A9\uD558\uAC70\uB098 \uB2E4\uC591\uD55C \uB370\uC774\uD130\uBCA0\uC774\uC2A4\uB97C \uBC14\uD0D5\uC73C\uB85C \uAC80\uC0C9\uD55C\uB2E4. \uAE30\uBCF8\uC801\uC778 \uCC98\uB9AC \uD750\uB984\uC740 \uC544\uB798\uC640 \uAC19\uB2E4. \n* \uC9C8\uBB38 \uBD84\uC11D (\uC9C8\uBB38\uC744 \uB2E8\uC5B4\uB098 \uB9C8\uB514 \uB4F1, \uAC80\uC0C9 \uC5D4\uC9C4\uC758 query\uB85C \uBCC0\uD658) \n* \uAC80\uC0C9 \uC5D4\uC9C4 (\uC5EC\uAE30\uC5D0\uC11C\uB294 AND \uAC80\uC0C9 \uB4F1\uC758 query\uB97C \uB358\uC9C0\uB294 \uAC83\uC774 \uB9CE\uB2E4) \n* \uC5C4\uC120 (\uCDE8\uB4DD\uD55C \uBB38\uC7A5\uC73C\uB85C\uBD80\uD130 \uD574\uB2F5 \uBD80\uBD84\uC744 \uCD94\uCD9C) \n* \uACB0\uACFC \uD45C\uC2DC (\uD574\uB2F5\uC744 \uAC80\uC0C9 \uC5D4\uC9C4\uC774 \uB9E4\uAE34 \uC810\uC218\uC5D0 \uB530\uB978 \uC21C\uC11C\uB85C \uBC14\uAFD4 \uD45C\uC2DC) \uC9C8\uBB38 \uC751\uB2F5\uC740 \uC815\uBCF4 \uAC80\uC0C9, \uC815\uBCF4 \uCD94\uCD9C, \uC790\uC5F0\uC5B4 \uCC98\uB9AC \uB4F1 \uB2E4\uC218 \uBD84\uC57C\uC5D0 \uAC78\uCE58\uB294 \uAE30\uC220\uC774 \uC774\uC6A9\uB418\uACE0 \uC788\uB2E4."@ko . . "Galdera-erantzun sistemak informazioaren berreskurapenaren arloaren barruan sartzen dira."@eu . . "Question answering \u2013 zadanie automatycznego odpowiadania na pytania zadane w j\u0119zyku naturalnym komputerowi. \u017Beby znale\u017A\u0107 odpowied\u017A na pytanie, program komputerowy typu QA mo\u017Ce u\u017Cywa\u0107 wzorc\u00F3w zawartych w bazach danych b\u0105d\u017A zbioru materia\u0142\u00F3w (korpus taki jak strona w sieci www b\u0105d\u017A lokalne dokumenty). System powinien radzi\u0107 sobie z szerok\u0105 gam\u0105 r\u00F3\u017Cnych typ\u00F3w pyta\u0144, zar\u00F3wno prostych (np. co? gdzie?), jak i definicji czy te\u017C hipotetycznych."@pl . "\u554F\u7B54\u7CFB\u7D71(Question Answering System\uFF0CQA System)\uFF0C\u662F\u672A\u4F86\u81EA\u7136\u8A9E\u8A00\u8655\u7406\u7684\u660E\u65E5\u4E4B\u661F\u3002\u554F\u7B54\u7CFB\u7D71\u5916\u90E8\u7684\u884C\u70BA\u4E0A\u4F86\u770B\uFF0C\u5176\u8207\u76EE\u524D\u4E3B\u6D41\u8CC7\u8A0A\u6AA2\u7D22\u6280\u8853\u6709\u5169\u9EDE\u4E0D\u540C\uFF1A\u9996\u5148\u662F\u67E5\u8A62\u65B9\u5F0F\u70BA\u5B8C\u6574\u800C\u53E3\u8A9E\u5316\u7684\u554F\u53E5\uFF0C\u518D\u4F86\u5247\u662F\u5176\u56DE\u50B3\u7684\u70BA\u9AD8\u7CBE\u6E96\u5EA6\u7DB2\u9801\u7D50\u679C\u6216\u660E\u78BA\u7684\u7B54\u6848\u5B57\u4E32\u3002\u4EE5Ask Jeeves\u70BA\u4F8B\uFF0C\u4F7F\u7528\u8005\u4E0D\u9700\u8981\u601D\u8003\u8A72\u4F7F\u7528\u751A\u9EBC\u6A23\u7684\u554F\u6CD5\u624D\u80FD\u5920\u5F97\u5230\u7406\u60F3\u7684\u7B54\u6848\uFF0C\u53EA\u9700\u8981\u7528\u53E3\u8A9E\u5316\u7684\u65B9\u5F0F\u76F4\u63A5\u63D0\u554F\u5982\u300C\u8ACB\u554F\u8AB0\u662F\u7F8E\u570B\u7E3D\u7D71\uFF1F\u300D\u5373\u53EF\u3002\u800C\u7CFB\u7D71\u5728\u77AD\u89E3\u4F7F\u7528\u8005\u554F\u53E5\u5F8C\uFF0C\u6703\u975E\u5E38\u6E05\u695A\u5730\u56DE\u7B54\u300C\u7279\u6717\u666E\u662F\u7F8E\u570B\u7E3D\u7D71\u300D\u3002\u9762\u5C0D\u9019\u7A2E\u7CFB\u7D71\uFF0C\u4F7F\u7528\u8005\u4E0D\u9700\u8981\u8CBB\u5FC3\u53BB\u4E00\u4E00\u6AA2\u8996\u641C\u5C0B\u5F15\u64CE\u56DE\u50B3\u7684\u7DB2\u9801\uFF0C\u5C0D\u65BC\u8CC7\u8A0A\u6AA2\u7D22\u7684\u6548\u7387\u8207\u8CC7\u8A0A\u7684\u666E\u53CA\u90FD\u6709\u5F88\u5927\u5E6B\u52A9\u3002\u5F9E\u7CFB\u7D71\u5167\u90E8\u4F86\u770B\uFF0C\u554F\u7B54\u7CFB\u7D71\u4F7F\u7528\u4E86\u5927\u91CF\u6709\u5225\u65BC\u50B3\u7D71\u8CC7\u8A0A\u6AA2\u7D22\u7CFB\u7D71\u81EA\u7136\u8A9E\u8A00\u8655\u7406\u6280\u8853\uFF0C\u5982\u81EA\u7136\u8A9E\u8A00\u5256\u6790\uFF08Natural Language Parsing\uFF09\u3001\u554F\u984C\u5206\u985E\uFF08Question Classification\uFF09\u3001\u5C08\u540D\u8FA8\u8B58\uFF08Named Entity Recognition\uFF09\u7B49\u7B49\u3002\u5C11\u6578\u7CFB\u7D71\u751A\u81F3\u6703\u4F7F\u7528\u8907\u96DC\u7684\u908F\u8F2F\u63A8\u7406\u6A5F\u5236\uFF0C\u4F86\u5340\u9694\u51FA\u9700\u8981\u63A8\u7406\u6A5F\u5236\u624D\u80FD\u5920\u5340\u9694\u51FA\u4F86\u7684\u7B54\u6848\u3002\u5728\u7CFB\u7D71\u6240\u4F7F\u7528\u7684\u8CC7\u6599\u4E0A\uFF0C\u9664\u4E86\u50B3\u7D71\u8CC7\u8A0A\u6AA2\u7D22\u6703\u4F7F\u7528\u5230\u7684\u8CC7\u6599\u5916\uFF08\u5982\u5B57\u5178\uFF09\uFF0C\u554F\u7B54\u7CFB\u7D71\u9084\u6703\u4F7F\u7528\u672C\u9AD4\u8AD6\u7B49\u8A9E\u4E49\u8CC7\u6599\uFF0C\u6216\u8005\u5229\u7528\u7DB2\u9801\u4F86\u589E\u52A0\u8CC7\u6599\u7684\u8C50\u5BCC\u6027\u3002 \u622A\u81F3\u76EE\u524D\u70BA\u6B62\uFF0C\u6700\u8457\u540D\u7684\u554F\u7B54\u7CFB\u7D71\u61C9\u5C6CIBM\u7684\u6C83\u68EE\u7CFB\u7D71\u3002\u8A72\u7CFB\u7D71\u57282011\u5E74\u65BCJeopardy\u7BC0\u76EE\u4E2D\uFF0C\u8207\u4EBA\u985E\u540C\u5834\u8F03\u52C1\uFF0C\u4E26\u7372\u5F97\u6700\u5F8C\u7684\u52DD\u5229\u3002"@zh . "Syst\u00E8mes de questions-r\u00E9ponses"@fr . "Galdera-erantzun sistemak"@eu . . . "Frage-Antwort-System"@de . "Question answering"@pl . . . "Question answering (QA) is a computer science discipline within the fields of information retrieval and natural language processing (NLP), which is concerned with building systems that automatically answer questions posed by humans in a natural language."@en . . . "\u8CEA\u554F\u5FDC\u7B54\u30B7\u30B9\u30C6\u30E0\uFF08\u3057\u3064\u3082\u3093\u304A\u3046\u3068\u3046\u30B7\u30B9\u30C6\u30E0\u3001question answering system\uFF09\u306F\u3001\u81EA\u7136\u8A00\u8A9E\u306E\u8CEA\u554F\u3092\u30E6\u30FC\u30B6\u304B\u3089\u81EA\u7136\u8A00\u8A9E\u3067\u53D7\u3051\u3064\u3051\u3001\u305D\u306E\u89E3\u7B54\u3092\u8FD4\u3059\u3088\u3046\u306A\u30B3\u30F3\u30D4\u30E5\u30FC\u30BF\u30BD\u30D5\u30C8\u30A6\u30A7\u30A2\u306E\u3053\u3068\u3002\u8CEA\u554F\u5FDC\u7B54\uFF08\u82F1\u8A9E: question answering\u3001\u7565\u79F0\uFF1AQA\uFF09\u3068\u3044\u3048\u3070\u81EA\u7136\u8A00\u8A9E\u51E6\u7406\u3084\u60C5\u5831\u691C\u7D22\u306B\u304A\u3051\u308B\u8CEA\u554F\u5FDC\u7B54\u30B7\u30B9\u30C6\u30E0\u306B\u95A2\u3059\u308B\u7814\u7A76\u5206\u91CE\u3092\u6307\u3059\u3002\u89E3\u7B54\u306F\u57FA\u672C\u7684\u306B\u6587\u7AE0\u3084\u5358\u8A9E\u306E\u5F62\u5F0F\u3067\u7B54\u3048\u308B\u3053\u3068\u304C\u591A\u3044\u3002 \u8CEA\u554F\u5FDC\u7B54\u306E\u4E2D\u3067\u6700\u3082\u57FA\u672C\u7684\u306A\u30BF\u30A4\u30D7\u3067\u3042\u308B\u306F\u3001\u8CEA\u554F\u6587\u306B\u5BFE\u3057\u3066\u5358\u8A9E\u3067\u7B54\u3048\u308B\u30B7\u30B9\u30C6\u30E0\u306E\u3053\u3068\u3092\u6307\u3059\u3002\u4F8B\u3048\u3070\u3001\u300C\u30DE\u30A4\u30B1\u30EB\u30B8\u30E3\u30AF\u30BD\u30F3\u306F\u4F55\u3068\u547C\u3070\u308C\u3066\u3044\u305F?\u300D\u3068\u3044\u3046\u8CEA\u554F\u306B\u5BFE\u3057\u3066\u300CKing of Pop\u300D\u3068\u7B54\u3048\u308B\u3088\u3046\u306A\u30B7\u30B9\u30C6\u30E0\u306E\u3053\u3068\u3067\u3042\u308B\u3002\u30B7\u30B9\u30C6\u30E0\u304C\u89E3\u7B54\u3092\u5F97\u308B\u305F\u3081\u3001\u691C\u7D22\u30A8\u30F3\u30B8\u30F3\u3084\u767E\u79D1\u8F9E\u5178\u306A\u3069\u3092\u7528\u3044\u305F\u308A\u3001\u30C7\u30FC\u30BF\u30D9\u30FC\u30B9\u3092\u57FA\u306B\u3057\u3066\u691C\u7D22\u3092\u884C\u3046\u30B7\u30B9\u30C6\u30E0\u3082\u3042\u308B\u3002Factoid\u578B\u8CEA\u554F\u5FDC\u7B54\u306E\u57FA\u672C\u7684\u306A\u51E6\u7406\u306E\u6D41\u308C\u306F\u3001\u4EE5\u4E0B\u306E\u3088\u3046\u306B\u306A\u308B\u3002 1. \n* \u8CEA\u554F\u6587\u5206\u6790\uFF08\u8CEA\u554F\u6587\u3092\u5358\u8A9E\u3084\u7BC0\u306A\u3069\u3001\u691C\u7D22\u30A8\u30F3\u30B8\u30F3\u306E\u30AF\u30A8\u30EA\u306B\u5909\u63DB\u3059\u308B\uFF09 2. \n* \u60C5\u5831\u691C\u7D22\uFF08\u3053\u3053\u3067\u306FAND\u691C\u7D22\u306A\u3069\u901A\u5E38\u306E\u30AF\u30A8\u30EA\u3092\u6295\u3052\u304B\u3051\u308B\u3053\u3068\u304C\u591A\u3044\uFF09 3. \n* \u89E3\u7B54\u62BD\u51FA\uFF08\u53D6\u5F97\u3057\u305F\u6587\u7AE0\u304B\u3089\u3001\u89E3\u7B54\u90E8\u5206\u3092\u62BD\u51FA\u3059\u308B\uFF09 4. \n* \u89E3\u7B54\u9078\u629E\uFF08\u89E3\u7B54\u3092\u30B9\u30B3\u30A2\u9806\u306B\u4E26\u3079\u66FF\u3048\u3001\u8868\u793A\u3059\u308B\uFF09 \u904E\u53BB\u306B\u306FIBM\u304C\u958B\u767A\u3057\u305F\u8CEA\u554F\u5FDC\u7B54\u30B7\u30B9\u30C6\u30E0\u3067\u3042\u308B\u30EF\u30C8\u30BD\u30F3\u304C\u30A2\u30E1\u30EA\u30AB\u306E\u30AF\u30A4\u30BA\u756A\u7D44\u300C\u30B8\u30E7\u30D1\u30C7\u30A3\uFF01\u300D\u306B\u89E3\u7B54\u8005\u3068\u3057\u3066\u6311\u6226\u3057\u3001\u4EBA\u9593\u306E\u89E3\u7B54\u8005\u306B\u52DD\u5229\u3059\u308B\u306A\u3069\u3001\u5B9F\u7528\u6BB5\u968E\u306B\u8FD1\u3065\u3044\u3066\u3044\u308B\u3002\u6D77\u5916\u306E\u30B5\u30A4\u30C8\u3067\u306F AskJeeves \u3084 Wolfram Alpha \u304C\u77E5\u3089\u308C\u3066\u3044\u308B\u3002"@ja . "Ein Frage-Antwort-System ist ein wissensbasiertes System, das menschlichen Benutzern in nat\u00FCrlicher Sprache Auskunft auf (ebenfalls nat\u00FCrlichsprachlich gestellte) Fragen erteilt. Dar\u00FCber hinaus sind Frage-Antwort-Systeme auch bereits in der f\u00FCr wissensbasierte Systeme notwendigen Lernphase in der Lage, Information in nat\u00FCrlichsprachlicher Form entgegenzunehmen. Der besonders enge Bezug zur nat\u00FCrlichen Sprache in allen Phasen der Verwendung, der einen effizienten Dialog zwischen Mensch und Maschine erm\u00F6glichen soll, unterscheidet Frage-Antwort-Systeme von anderen wissensbasierten Systemen. Aktuelle Frage-Antwort-Systeme werden in verschiedenen internationalen Foren evaluiert,z. B. bei TREC (englischer Schwerpunkt),bei CLEF (europ\u00E4ischer Schwerpunkt) undbei (asiatischer Schwerpunkt).Folgende Institutionen entwickeln deutschsprachige Frage-Antwort-Systeme (siehe auch CLEF): Universit\u00E4t des Saarlandes, FernUniversit\u00E4t in Hagen usw."@de . . "\u554F\u7B54\u7CFB\u7D71"@zh . . . . . . . . . . . . . . . . "27455"^^ . "\u8CEA\u554F\u5FDC\u7B54\u30B7\u30B9\u30C6\u30E0"@ja . . . . "1121168735"^^ . "Ein Frage-Antwort-System ist ein wissensbasiertes System, das menschlichen Benutzern in nat\u00FCrlicher Sprache Auskunft auf (ebenfalls nat\u00FCrlichsprachlich gestellte) Fragen erteilt. Dar\u00FCber hinaus sind Frage-Antwort-Systeme auch bereits in der f\u00FCr wissensbasierte Systeme notwendigen Lernphase in der Lage, Information in nat\u00FCrlichsprachlicher Form entgegenzunehmen. Der besonders enge Bezug zur nat\u00FCrlichen Sprache in allen Phasen der Verwendung, der einen effizienten Dialog zwischen Mensch und Maschine erm\u00F6glichen soll, unterscheidet Frage-Antwort-Systeme von anderen wissensbasierten Systemen."@de . . . . . "Nell'information retrieval, il question answering (QA) consiste nel rispondere automaticamente a una domanda espressa in una lingua naturale. Per trovare la risposta a una domanda, un programma di QA pu\u00F2 utilizzare una base di conoscenza o una raccolta di documenti in lingua naturale (un corpus quale il World Wide Web o altre collezioni locali). La ricerca nell'ambito del QA cerca di affrontare un ampio spettro di tipi di domande quali: fatti, liste, definizioni, come, perch\u00E9, ipotetiche, vincolate semanticamente, ecc. Collezioni di ricerca variano da piccoli corpora a raccolte di notizie, al World Wide Web. Si pensa che il QA richieda tecniche di elaborazione del linguaggio naturale pi\u00F9 complesse di altri tipi di recupero dell'informazione quali il recupero di documenti. Di conseguenza, i motori di ricerca basati sulla lingua naturale sono a volte considerati i motori di ricerca del futuro."@it . . . . . . . . . . . . . . . . . . . . . "Question answering (QA) is a computer science discipline within the fields of information retrieval and natural language processing (NLP), which is concerned with building systems that automatically answer questions posed by humans in a natural language."@en . "\u8CEA\u554F\u5FDC\u7B54\u30B7\u30B9\u30C6\u30E0\uFF08\u3057\u3064\u3082\u3093\u304A\u3046\u3068\u3046\u30B7\u30B9\u30C6\u30E0\u3001question answering system\uFF09\u306F\u3001\u81EA\u7136\u8A00\u8A9E\u306E\u8CEA\u554F\u3092\u30E6\u30FC\u30B6\u304B\u3089\u81EA\u7136\u8A00\u8A9E\u3067\u53D7\u3051\u3064\u3051\u3001\u305D\u306E\u89E3\u7B54\u3092\u8FD4\u3059\u3088\u3046\u306A\u30B3\u30F3\u30D4\u30E5\u30FC\u30BF\u30BD\u30D5\u30C8\u30A6\u30A7\u30A2\u306E\u3053\u3068\u3002\u8CEA\u554F\u5FDC\u7B54\uFF08\u82F1\u8A9E: question answering\u3001\u7565\u79F0\uFF1AQA\uFF09\u3068\u3044\u3048\u3070\u81EA\u7136\u8A00\u8A9E\u51E6\u7406\u3084\u60C5\u5831\u691C\u7D22\u306B\u304A\u3051\u308B\u8CEA\u554F\u5FDC\u7B54\u30B7\u30B9\u30C6\u30E0\u306B\u95A2\u3059\u308B\u7814\u7A76\u5206\u91CE\u3092\u6307\u3059\u3002\u89E3\u7B54\u306F\u57FA\u672C\u7684\u306B\u6587\u7AE0\u3084\u5358\u8A9E\u306E\u5F62\u5F0F\u3067\u7B54\u3048\u308B\u3053\u3068\u304C\u591A\u3044\u3002 \u8CEA\u554F\u5FDC\u7B54\u306E\u4E2D\u3067\u6700\u3082\u57FA\u672C\u7684\u306A\u30BF\u30A4\u30D7\u3067\u3042\u308B\u306F\u3001\u8CEA\u554F\u6587\u306B\u5BFE\u3057\u3066\u5358\u8A9E\u3067\u7B54\u3048\u308B\u30B7\u30B9\u30C6\u30E0\u306E\u3053\u3068\u3092\u6307\u3059\u3002\u4F8B\u3048\u3070\u3001\u300C\u30DE\u30A4\u30B1\u30EB\u30B8\u30E3\u30AF\u30BD\u30F3\u306F\u4F55\u3068\u547C\u3070\u308C\u3066\u3044\u305F?\u300D\u3068\u3044\u3046\u8CEA\u554F\u306B\u5BFE\u3057\u3066\u300CKing of Pop\u300D\u3068\u7B54\u3048\u308B\u3088\u3046\u306A\u30B7\u30B9\u30C6\u30E0\u306E\u3053\u3068\u3067\u3042\u308B\u3002\u30B7\u30B9\u30C6\u30E0\u304C\u89E3\u7B54\u3092\u5F97\u308B\u305F\u3081\u3001\u691C\u7D22\u30A8\u30F3\u30B8\u30F3\u3084\u767E\u79D1\u8F9E\u5178\u306A\u3069\u3092\u7528\u3044\u305F\u308A\u3001\u30C7\u30FC\u30BF\u30D9\u30FC\u30B9\u3092\u57FA\u306B\u3057\u3066\u691C\u7D22\u3092\u884C\u3046\u30B7\u30B9\u30C6\u30E0\u3082\u3042\u308B\u3002Factoid\u578B\u8CEA\u554F\u5FDC\u7B54\u306E\u57FA\u672C\u7684\u306A\u51E6\u7406\u306E\u6D41\u308C\u306F\u3001\u4EE5\u4E0B\u306E\u3088\u3046\u306B\u306A\u308B\u3002 1. \n* \u8CEA\u554F\u6587\u5206\u6790\uFF08\u8CEA\u554F\u6587\u3092\u5358\u8A9E\u3084\u7BC0\u306A\u3069\u3001\u691C\u7D22\u30A8\u30F3\u30B8\u30F3\u306E\u30AF\u30A8\u30EA\u306B\u5909\u63DB\u3059\u308B\uFF09 2. \n* \u60C5\u5831\u691C\u7D22\uFF08\u3053\u3053\u3067\u306FAND\u691C\u7D22\u306A\u3069\u901A\u5E38\u306E\u30AF\u30A8\u30EA\u3092\u6295\u3052\u304B\u3051\u308B\u3053\u3068\u304C\u591A\u3044\uFF09 3. \n* \u89E3\u7B54\u62BD\u51FA\uFF08\u53D6\u5F97\u3057\u305F\u6587\u7AE0\u304B\u3089\u3001\u89E3\u7B54\u90E8\u5206\u3092\u62BD\u51FA\u3059\u308B\uFF09 4. \n* \u89E3\u7B54\u9078\u629E\uFF08\u89E3\u7B54\u3092\u30B9\u30B3\u30A2\u9806\u306B\u4E26\u3079\u66FF\u3048\u3001\u8868\u793A\u3059\u308B\uFF09"@ja . "La b\u00FAsqueda de respuestas, en ingl\u00E9s Question Answering (QA), es un tipo de recuperaci\u00F3n de la informaci\u00F3n. Dada una cierta cantidad de documentos (tales como World Wide Web), el sistema deber\u00EDa ser capaz de recuperar respuestas a preguntas planteadas en lenguaje natural. QA es observado como un m\u00E9todo que requiere una tecnolog\u00EDa de Procesamiento de lenguaje natural m\u00E1s compleja que otros tipos de sistemas para la , y, en algunos casos, se le observa como un paso por delante de la tecnolog\u00EDa del buscador."@es . . . . "La b\u00FAsqueda de respuestas, en ingl\u00E9s Question Answering (QA), es un tipo de recuperaci\u00F3n de la informaci\u00F3n. Dada una cierta cantidad de documentos (tales como World Wide Web), el sistema deber\u00EDa ser capaz de recuperar respuestas a preguntas planteadas en lenguaje natural. QA es observado como un m\u00E9todo que requiere una tecnolog\u00EDa de Procesamiento de lenguaje natural m\u00E1s compleja que otros tipos de sistemas para la , y, en algunos casos, se le observa como un paso por delante de la tecnolog\u00EDa del buscador. Un sistema de question answering es uno de los sistemas m\u00E1s complejos en torno a la recuperaci\u00F3n de informaci\u00F3n. Debemos de tener en cuenta que un sistema basado en el question-answering es mucho m\u00E1s dif\u00EDcil que un sistema normal que se encarga de buscar una informaci\u00F3n en una cantidad m\u00E1s o menos grande de documentos, ya que estos debe extraer de dichos documentos un fragmento de texto (m\u00EDnimo) que responda a una pregunta dada en lenguaje natural. Estos sistemas est\u00E1n muy ligados a los buscadores web. Un sistema de question-answering intenta reconocer un amplio rango de tipos de cuestiones, incluyendo hechos, listas, definiciones, c\u00F3mo, cu\u00E1ndo, d\u00F3nde, por qu\u00E9, etc. Dichas b\u00FAsquedas pueden variar desde peque\u00F1as colecciones de documentos locales, organizaciones internas de documentos, hasta la web entera (o una parte de ella)."@es . . . . .