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...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | Mansouri, Alireza, Affendey, Lilly Suriani, Mamat, Ali, Abdul Kadir, Rabiah |
|---|---|
| Μορφή: | Conference or Workshop Item |
| Γλώσσα: | English |
| Έκδοση: |
IEEE
2008
|
| Διαθέσιμο Online: | http://psasir.upm.edu.my/id/eprint/68864/1/Semantically%20factoid%20question%20answering%20using%20fuzzy%20SVM%20named%20entity%20recognition.pdf |
| Ετικέτες: |
Προσθήκη ετικέτας
Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!
|
Παρόμοια τεκμήρια
-
Named entity recognition approaches
ανά: Mansouri, Alireza, κ.ά.
Έκδοση: (2008) -
Named entity recognition using a new fuzzy support vector machine.
ανά: Mansouri, Alireza, κ.ά.
Έκδοση: (2008) -
Improving named entity recognition accuracy of gene and protein names in biomedical text /
ανά: Tohidi, Hossein. -
A computational method to answer semantic questions with constraints
ανά: Mohd Sharef, Nurfadhlina, κ.ά.
Έκδοση: (2013) -
Improving named entity recognition accuracy of gene and protein in biomedical text
ανά: Tohidi, Hossein
Έκδοση: (2011)
