Ara
Toplam kayıt 47, listelenen: 11-20
Shallow parsing in Turkish
(IEEE, 2017)
In this study, shallow parsing is applied on Turkish sentences. These sentences are used to train and test the per-formances of various learning algorithms with various features specified for shallow parsing in Turkish.
Calculating the VC-dimension of decision trees
(IEEE, 2009)
We propose an exhaustive search algorithm that calculates the VC-dimension of univariate decision trees with binary features. The VC-dimension of the univariate decision tree with binary features depends on (i) the ...
An incremental model selection algorithm based on cross-validation for finding the architecture of a Hidden Markov model on hand gesture data sets
(IEEE, 2009-12-13)
In a multi-parameter learning problem, besides choosing the architecture of the learner, there is the problem of finding the optimal parameters to get maximum performance. When the number of parameters to be tuned increases, ...
Comparison of Turkish proposition banks by frame matching
(IEEE, 2018-12-06)
By indicating semantic relations between a predicate and its associated participants in a sentence and identifying the role-bearing constituents, SRL provides an extensive dataset to understand natural languages and to ...
Müşterilerin GSP analizi kullanarak kümelenmesi
(Institute of Electrical and Electronics Engineers Inc., 2018-07-05)
Bu çalışma ile mevcut misafir ve rezervasyon verisi kullanılarak doğal öbeklenmeleri tespit ederek misafir davranışları tespit ettik. Ayrıca verilen hizmetleri ve satış stratejilerini bu davranışlara göre özelleştirdik. ...
Türkçe anlamsal söylem ve cümle benzerliği analizleri için veri kümesi oluşturma yöntemi
(IEEE, 2018-12-06)
Çalışmamızın amacı Türkçe için paragraf-cümle düzeyinde anlamsal söylem analizi ve paragraf-cümle ve cümle-cümle düzeyinde metinsel benzerlik ölçümlemesi için bir veri kümesi hazırlamaktır.
An all-words sense annotated Turkish corpus
(IEEE, 2018-06-06)
This paper reports our efforts in constructing of a sense labeled Turkish corpus with respect to Turkish Language Institution's dictionary, using the traditional method of manual tagging. We tagged a pre-built parallel ...
All-words word sense disambiguation for Turkish
(IEEE, 2017)
Identifying the sense of a word within a context is a challenging problem and has many applications in natural language processing. This assignment problem is called word sense disambiguation(WSD). Many papers in the ...
Automatic propbank generation for Turkish
(Incoma Ltd, 2019-09)
Semantic role labeling (SRL) is an important task for understanding natural languages, where the objective is to analyse propositions expressed by the verb and to identify each word that bears a semantic role. It provides ...
Emlak alanına özgü kelime ağı
(Institute of Electrical and Electronics Engineers Inc., 2019-04)
Kelime ağı, anlamlarına göre organize edilmiş kelimeleri barındıran bir veritabanıdır. Bir kelime ağı, sahip olduğu kelimelerin anlamlarını, bilişsel eş anlamlılarını, türlerini, diğer anlamlar ile arasındaki ilişkilerini ...