Corpus-driven hyponym acquisition for Turkish language
Küçük Resim Yok
Tarih
2012
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, we propose a method for acquisition of hyponymy relations for the Turkish Language. This integrated method relies on both lexico-syntactic pattern and semantic similarity. Once the model has extracted the items using patterns it applies similarity based elimination of the incorrect ones in order to increase precision. We show that the algorithm based on a particular lexico-syntactic pattern for Turkish language can retrieve many hyponymy relations and also demonstrate that elimination based on semantic similarity gives promising results. We discuss how we measure the similarity between the concepts. The objective is to get better relevance and more precise results. The experiments show that this approach gives successful results with high precision. © 2012 Springer-Verlag.
Açıklama
13th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2012 -- 11 March 2012 through 17 March 2012 -- New Delhi -- 89060
Anahtar Kelimeler
Corpus-Based Method, Hypernym/Hyponym, Semantic Lexicon, Semantic Similarity, Corpus-Based Methods, High Precision, Hypernym/Hyponym, Hyponymy Relation, Integrated Method, Lexico-Syntactic Patterns, Semantic Lexicon, Semantic Similarity, Turkish Language, Computational Linguistics, Semantics, Syntactics, Text Processing, Natural Language Processing Systems
Kaynak
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
WoS Q Değeri
Scopus Q Değeri
Q3
Cilt
7181 LNCS
Sayı
PART 1
