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Semantically factoid question answering using fuzzy SVM named entity recognition

Named Entity Recognition (NER) and Question Answering (QA) are fundamental tasks and they are the cores of natural language processing (NLP) system. NER, a sub problem of Information Extraction (IE), involves recognizing and extracting name entities like Persons, Locations, Organizations, Dates and...

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Detaylı Bibliyografya
Asıl Yazarlar: Mansouri, Alireza, Affendey, Lilly Suriani, Mamat, Ali, Abdul Kadir, Rabiah
Materyal Türü: Conference or Workshop Item
Dil:English
Baskı/Yayın Bilgisi: IEEE 2008
Online Erişim:http://psasir.upm.edu.my/id/eprint/68864/1/Semantically%20factoid%20question%20answering%20using%20fuzzy%20SVM%20named%20entity%20recognition.pdf
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Internet

http://psasir.upm.edu.my/id/eprint/68864/1/Semantically%20factoid%20question%20answering%20using%20fuzzy%20SVM%20named%20entity%20recognition.pdf

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