Sopaoğlu, Uğur

Scholarly Output Search Results

Now showing 1 - 3 of 3

Citation - WoS: 1
Citation - Scopus: 2
Evaluation of Semantic Relatedness Measures for Turkish Language
(Springer international Publishing Ag, 2018) Sopaoglu, Ugur; Ercan, Gonenc
The problem of quantifying semantic relatedness level of two words is a fundamental sub-task for many natural language processing systems. While there is a large body of research on measuring semantic relatedness in the English language, the literature lacks detailed analysis for these methods in agglutinative languages. In this research, two new evaluation resources for the Turkish language are constructed. An extensive set of experiments involving multiple tasks: word association, semantic categorization, and automatic WordNet relationship discovery are performed to evaluate different semantic relatedness measures in the Turkish language. As Turkish is an agglutinative language, the morphological processing component is important for distributional similarity algorithms. For languages with rich morphological variations and productivity, methods ranging from simple stemming strategies to morphological disambiguation exists. In our experiments, different morphological processing methods for the Turkish language are investigated.
The effects of morphological structure of Turkish on semantic relatedness
(2014) Sopaoğlu, Uğur
It has been thought that the morphological analysis on agglutinative languages a ects the success of semantic relatedness positively. In this study, semantic relatedness is tested to support this idea performing morphological analysis on Turkish. To understand the e ect of morphology, the accomplishment of semantic relatedness is measured using two di erent methods, which are word association and clustering purity. According to results of these methods, it has been shown how much morphology a ects semantic relatedness.
Citation - WoS: 5
Citation - Scopus: 6
Towards a Process Management Life-Cycle Model for Graduation Projects in Computer Engineering
(Public Library Science, 2018) Gulec, Ulas; Sopaoglu, Ugur; Yilmaz, Murat; Tasel, Faris Serdar
Graduation projects play an important role in computer engineering careers in which students are expected to draw upon their knowledge and skills that were acquired since admission. To manage the activities of graduation projects, an iterative and incremental approach which aims continuous improvement is proposed as an alternative to a controversial delivery model. However, such integration brings up a set of challenges to be taken into account: e.g. multiple project deliveries, more labor-intensive effort from instructors, and ultimately continuous learning for all participants. One promising way to achieve such an integrated and continuous deployment velocity is to eliminate potential bottlenecks by giving student teams to receive early and continuous feedback. To this end, we propose a continuous feedback and delivery mechanism for managing the life-cycle of a graduation project through draft proposal, literature review, requirements gathering, design, implementation and testing which should produce intermediate outputs at predefined intervals. Most importantly, our approach makes it possible to quantify most of the activities involved in life-cycle process with various rubrics (i.e. measurement scales) that have been purposefully developed. The proposed model promotes the fact that all improvements should be monitored, evaluated and documented. The results of this study indicate that students who were managed using this approach produced better project deliverables and ultimately have delivered better and successful projects.

Journal	Count
17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing) -- APR 03-09, 2016 -- Mevlana Univ, Konya, TURKEY	1
PLOS ONE	1

Sopaoğlu, Uğur

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