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...
Zapisane w:
| Główni autorzy: | Mansouri, Alireza, Affendey, Lilly Suriani, Mamat, Ali, Abdul Kadir, Rabiah |
|---|---|
| Format: | Conference or Workshop Item |
| Język: | English |
| Wydane: |
IEEE
2008
|
| Dostęp online: | http://psasir.upm.edu.my/id/eprint/68864/1/Semantically%20factoid%20question%20answering%20using%20fuzzy%20SVM%20named%20entity%20recognition.pdf |
| Etykiety: |
Dodaj etykietę
Nie ma etykietki, Dołącz pierwszą etykiete!
|
Podobne zapisy
-
Named entity recognition approaches
od: Mansouri, Alireza, i wsp.
Wydane: (2008) -
Named entity recognition using a new fuzzy support vector machine.
od: Mansouri, Alireza, i wsp.
Wydane: (2008) -
Improving named entity recognition accuracy of gene and protein names in biomedical text /
od: Tohidi, Hossein. -
A computational method to answer semantic questions with constraints
od: Mohd Sharef, Nurfadhlina, i wsp.
Wydane: (2013) -
Improving named entity recognition accuracy of gene and protein in biomedical text
od: Tohidi, Hossein
Wydane: (2011)
