Semantically factoid question answering using fuzzy SVM named entity recognition

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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Bibliographic Details
Main Authors: Mansouri, Alireza, Affendey, Lilly Suriani, Mamat, Ali, Abdul Kadir, Rabiah
Format: Conference or Workshop Item
Language:English
Published: IEEE 2008
Online Access:http://psasir.upm.edu.my/id/eprint/68864/
http://psasir.upm.edu.my/id/eprint/68864/1/Semantically%20factoid%20question%20answering%20using%20fuzzy%20SVM%20named%20entity%20recognition.pdf

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