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- Question_answering abstract "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.A QA implementation, usually a computer program, may construct its answers by querying a structured database of knowledge or information, usually a knowledge base. More commonly, QA systems can pull answers from an unstructured collection of natural language documents.Some examples of natural language document collections used for QA systems include: a local collection of reference texts internal organization documents and web pages compiled newswire reports a set of Wikipedia pages a subset of World Wide Web pagesQA research attempts to deal with a wide range of question types including: fact, list, definition, How, Why, hypothetical, semantically constrained, and cross-lingual questions. Closed-domain question answering deals with questions under a specific domain (for example, medicine or automotive maintenance), and can be seen as an easier task because NLP systems can exploit domain-specific knowledge frequently formalized in ontologies. Alternatively, closed-domain might refer to a situation where only a limited type of questions are accepted, such as questions asking for descriptive rather than procedural information. Open-domain question answering deals with questions about nearly anything, and can only rely on general ontologies and world knowledge. On the other hand, these systems usually have much more data available from which to extract the answer.".
- Question_answering wikiPageExternalLink ntcir8.
- Question_answering wikiPageExternalLink eagli-eagle-eye.
- Question_answering wikiPageExternalLink QA4MRE.
- Question_answering wikiPageExternalLink anlp00.pdf.
- Question_answering wikiPageExternalLink sigir00.pdf.
- Question_answering wikiPageExternalLink history.pdf.
- Question_answering wikiPageExternalLink qamain.html.
- Question_answering wikiPageExternalLink IntroMT-TOC.htm.
- Question_answering wikiPageID "360030".
- Question_answering wikiPageRevisionID "606782200".
- Question_answering hasPhotoCollection Question_answering.
- Question_answering subject Category:Artificial_intelligence_applications.
- Question_answering subject Category:Computational_linguistics.
- Question_answering subject Category:Information_retrieval.
- Question_answering subject Category:Natural_language_processing.
- Question_answering type Abstraction100002137.
- Question_answering type Application106570110.
- Question_answering type ArtificialIntelligenceApplications.
- Question_answering type Code106355894.
- Question_answering type CodingSystem106353757.
- Question_answering type Communication100033020.
- Question_answering type Program106568978.
- Question_answering type Software106566077.
- Question_answering type Writing106359877.
- Question_answering type WrittenCommunication106349220.
- Question_answering comment "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.A QA implementation, usually a computer program, may construct its answers by querying a structured database of knowledge or information, usually a knowledge base.".
- Question_answering label "Búsqueda de respuestas".
- Question_answering label "Question Answering".
- Question_answering label "Question answering".
- Question_answering label "Question answering".
- Question_answering label "Systèmes de questions-réponses".
- Question_answering label "Вопросно-ответная система".
- Question_answering label "問答系統".
- Question_answering label "質問応答システム".
- Question_answering sameAs Búsqueda_de_respuestas.
- Question_answering sameAs Galdera-erantzun_sistemak.
- Question_answering sameAs Systèmes_de_questions-réponses.
- Question_answering sameAs Question_answering.
- Question_answering sameAs 質問応答システム.
- Question_answering sameAs 질문_응답.
- Question_answering sameAs Question_Answering.
- Question_answering sameAs m.01_bbm.
- Question_answering sameAs Q1074173.
- Question_answering sameAs Q1074173.
- Question_answering sameAs Question_answering.
- Question_answering wasDerivedFrom Question_answering?oldid=606782200.
- Question_answering isPrimaryTopicOf Question_answering.