Semantically factoid question answering using fuzzy SVM named entity recognition

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

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...