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Toplam kayıt 41, listelenen: 21-30
Türkçe kelime ağı KeNet için arayüz
(Institute of Electrical and Electronics Engineers Inc., 2019-04)
Kelime ağları, bir dildeki kelimeler arasındaki bağlantıları, eş anlam kümeleri oluşturarak ve bu kümeleri birbirine çeşitli anlamsal bağıntılar ile bağlayarak temsil eden bir çizge veri yapısıdır. Doğal dil işleme alanındaki ...
Problems caused by semantic drift in WordNet synset construction
(Institute of Electrical and Electronics Engineers Inc., 2019-09)
In this study, we summarize the semantic drift problem that occur in specific synsets of KeNet, a Turkish WordNet, which is caused by mis-merging of semantically-related lexical items, morphological markings and false part ...
Integrating Turkish Wordnet KeNet to Princeton WordNet: The case of one-to-many correspondences
(Institute of Electrical and Electronics Engineers Inc., 2019-10)
In this paper, we introduce a novel approach of forming interlingual relations between multilingual wordnets. We have mapped Turkish senses in KeNet with their corresponding senses in Princeton WordNet by drawing one-To-many ...
A multilayer annotated corpus for Turkish
(IEEE, 2018-06-06)
In this paper, we present the first multilayer annotated corpus for Turkish, which is a low-resourced agglutinative language. Our dataset consists of 9,600 sentences translated from the Penn Treebank Corpus. Annotated ...
İlişkisel veri tabanlarında mükerrer kayıtların makine ö?renmesiyle tespiti
(Institute of Electrical and Electronics Engineers Inc., 2018-07-05)
Veri miktarının artışına paralel olarak, ilişkisel veri tabanlarında mükerrer kayıtlar da artmaktadır. Artan bu kayıtlar kullanıldıkları rapor veya analizlerde tutarsızlığa sebep olabilmektedir. Bu sorunu en aza indirgemek ...
Incremental construction of rule ensembles using classifiers produced by different class orderings
(IEEE, 2016)
In this paper, we discuss a novel approach to incrementally construct a rule ensemble. The approach constructs an ensemble from a dynamically generated set of rule classifiers. Each classifier in this set is trained by ...
A novel regression method for software defect prediction with kernel methods
(2013)
In this paper, we propose a novel method based on SVM to predict the number of defects in the files or classes of a software system. To model the relationship between source code similarity and defectiveness, we use SVM ...
Feature extraction from discrete attributes
(IEEE, 2010)
In many pattern recognition applications, first decision trees are used due to their simplicity and easily interpretable nature. In this paper, we extract new features by combining k discrete attributes, where for each ...
Univariate margin tree
(Springer, 2010)
In many pattern recognition applications, first decision trees are used due to their simplicity and easily interpretable nature. In this paper, we propose a new decision tree learning algorithm called univariate margin ...
Constructing a Turkish-English parallel treebank
(Association for Computational Linguistics (ACL), 2014)
In this paper, we report our preliminary efforts in building an English-Turkish parallel treebank corpus for statistical machine translation. In the corpus, we manually generated parallel trees for about 5,000 sentences ...