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Browsing Ph.D. Theses by Author "Güngör, Tunga."

Browsing Ph.D. Theses by Author "Güngör, Tunga."

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  • Automated query-biased and structure-preserving document summarization for web search tasks 
    Pembe, Fatma Canan. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    With the drastic increase of available information sources on the Internet, people with different backgrounds in the world share the same problem: locating useful information for their actual needs. Search engines provide ...
  • Computer processing of Turkish: |morphological and lexical investigation 
    Güngör, Tunga. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 1995., 1995.)
    The morphological analysis of Turkish is the subject of this thesis. Turkish belongs to the group of agglutinative languages. Because of its agglutinative nature, Turkish morphology is quite complex and includes many ...
  • Deep learning-based dependency parsing for Turkish 
    Bilgin, Şaziye Betül. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Dependency parsing is an important step for many natural language processing (NLP) systems such as question answering and machine translation. Turkish, being a morphologically rich language and having a complex grammar, ...
  • Developing a comprehensive framework for sentiment analysis in Turkish 
    Aydın, Cem Rıfkı. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    In this thesis, we developed a comprehensive framework for sentiment analysis that takes its many aspects into account mainly for Turkish. We have also proposed several approaches specific to sentiment analysis in English ...
  • Developing new approaches for multi-platform and multi-individual genomic sequence assembly 
    Kavak, Pınar. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    High throughput sequencing (HTS) technologies generate huge amount of data with very low cost, which prompted research on algorithm development to analyze large DNA sequence datasets. In this thesis, we propose new solutions ...
  • Improving text classification performance with the analysis of lexical dependencies and class-based feature selection 
    Özgür, Levent. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    In this thesis, we present a comprehensive analysis of the feature extraction and feature selection techniques for the text classification problem in order to achieve more successful results using much smaller feature ...
  • Integrating morphology into automatic speech recognition: morpholexical and discriminative language models for Turkish 
    Sak, Haşim. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    Languages with agglutinative or in ectional morphology have proven to be challenging for speech and language processing due to relatively large vocabulary sizes leading to a high number of out-of-vocabulary (OOV) words. ...
  • Neural named entity recognition for morphologically rich languages 
    Güngör, Onur. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Named entity recognition (NER) is an important task in natural language pro cessing (NLP). Until the revival of neural network based models for NLP, NER taggers employed traditional machine learning approaches or finite-state ...

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