About
Dilara Torunoğlu Selamet serves as a Lecturer in the Department of Computer Engineering within the Faculty of Computer and Informatics at Istanbul Technical University. Holding a PhD, she specializes in Natural Language Processing for Turkish, with research emphases on social media text normalization, named entity recognition, and sentiment analysis.
Her academic credentials feature:
- PhD in Computer Engineering, Istanbul Technical University (awarded circa 2013)
- Master of Science in Computer and Information Sciences (Non-thesis), Doğuş University (2009-2013)
- Bachelor of Science in Computer Engineering, Doğuş University (2004-2009)
Dilara's scholarship tackles the complexities of Turkish NLP, a language with rich morphology. She has made notable contributions to text normalization for social media platforms, named entity recognition in authentic datasets, and semantic smoothing techniques for sentiment classification. Her work often bridges theoretical NLP with practical applications, as seen in resource-building projects like the ITU Web Treebank and Turkish sign language corpora.
Her publication record (2011-2021) demonstrates methodical growth: initial work on text classification (2011) evolved into named entity recognition (2013) and social media normalization (2014, 2017), then expanded to data augmentation (2020-2021) and sign language processing (2020). This trajectory reflects her commitment to advancing Turkish NLP through both foundational research and innovative resource development.
While no specific awards are documented, her research impact is evidenced by an h-index of 4 and over 127 citations in Scopus.
Available information does not indicate any students supervised or research grants obtained.
She is affiliated with Istanbul Technical University's Department of Computer Engineering, but no laboratory or research team memberships are specified in public profiles.
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