International Journal of Information and Communication Technology Research
مجله بین المللی ارتباطات و فناوری اطلاعات
International Journal of Information and Communication Technology Research
Engineering & Technology
http://ijict.itrc.ac.ir
1
admin
2251-6107
2783-4425
doi
1652
25391
en
jalali
1396
3
1
gregorian
2017
6
1
9
2
online
1
fulltext
fa
Persian Wordnet Construction using Supervised Learning
فناوری اطلاعات
Information Technology
پژوهشي
Research
This paper presents an automated supervised method for Persian wordnet construction. Using a Persian corpus and a bi-lingual dictionary, the initial links between Persian words and Princeton WordNet synsets have been generated. These links will be discriminated later as correct or incorrect by employing seven features in a trained classification system. The whole method is just a classification system which has been trained on a train set containing a pre-existing Persian wordnet, FarsNet, as a set of correct instances. A set of some sophisticated distributional and semantic features is proposed to be used in the classification system. Furthermore, a set of randomly selected links have been added to training data as incorrect instances. The links classified as correct are collected to be included in the final wordnet. State of the art results on the automatically derived Persian wordnet is achieved. The resulted wordnet with a precision of 91.18% includes more than 16,000 words and 22,000 synsets.
wordnet, ontology, supervised, Persian language
35
44
http://ijict.itrc.ac.ir/browse.php?a_code=A-10-27-18&slc_lang=fa&sid=1
Zahra
Mousavi
100319475328460059
100319475328460059
Yes
Heshaam
Faili
100319475328460060
100319475328460060
No
Marzieh
Fadaee
100319475328460061
100319475328460061
No