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Browsing Bilgisayar Mühendisliği by Author "Güngör, Tunga."

Browsing Bilgisayar Mühendisliği by Author "Güngör, Tunga."

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  • A comprehensive analysis of subword tokenizers for morphologically rich languages 
    Erkaya, Erencan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Transformer language models have paved the way for outstanding achievements on a wide variety of natural language processing tasks. The first step in transformer models is dividing the input into tokens. Over the years, ...
  • A comprehensive analysis of using WordNet, part-of-speech tagging, and word sense disambiguation in text categorization 
    Çelik, Kerem. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    By the huge increase of data volume in the digital environment and the machine learning techniques, studies on automatic categorization of text documents is increased. Text categorization is simply assigning prede ned label ...
  • A rule - based approach for converting Wikipedia content into semantic relations 
    Aydın, Nihal Yağmur. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    In this thesis, we propose a method for conversion from natural language into semantic relations. In this research, we focus on text written in highly unstructured form. The method is based on analysis of grammatical ...
  • An approach for dictionary-based concept mining in Turkish 
    Aydın, Cem Rıfkı. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    Concept Mining is a field of NLP, where the documents, be it simple text files, emails, papers, journals, or any other textual materials are scanned, and the most comprehensive concepts concerning these documents are to ...
  • An evaluation of existing and new feature selection metrics in automatic text categorization 
    Taşcı, Şerafettin. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    In recent years, the amount of available documents in the electronic medium such as electronic books, digital libraries and email messages increased rapidly. Therefore, the task of organizing and manipulating these resources ...
  • Analysis of word dependency relations and subword models in abstractive text summarization 
    Özkan, Ahmet Beka. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Abstractive text summarization is an important task in natural language pro cessing. As there are too many textual materials becoming available in the digital world at an unprecedented speed, people begin to need automated ...
  • 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, ...
  • Detection of orgenized behaviours on twitter 
    Beğenilmiş, Erdem. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    Microblogging platforms are widely used to share information, feelings, and ideas about anything. With nearly 320 million users (as of April 2017) Twitter is one of the most popular microblogging platforms making it a ...
  • 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 a concept extraction system for Turkish 
    Uzun-Per, Meryem. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    In recent years, due to growing vast amount of available electronic media and data, the necessity of analyzing electronic documents automatically is increased. In order to assess if a document contains valuable information ...
  • Developing a statistical Turkish sign language translation system for primary school students 
    Buz, Buse. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Nowadays, as the access to information in the field of education increases, new technologies are developing for primary school children. However, deaf and dumb children still have limited access to the information especially ...
  • 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 ...
  • Development of a translation memory system for Turkish to English 
    Kavak, Pınar. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    This thesis studies translation memory systems and development of a translation memory system from Turkish to English. A translation memory system is a tool that is designed for helping human translators during translation. ...
  • Enhancing relation classification by using shortest dependency paths between entities with pre-trained language models 
    Karaevli, Haluk Alper. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Relation Extraction (RE) is the task of finding the relation between entities from a plain text. As the length of the text increases, finding the relation becomes more challenging. The shortest dependency path (SDP) between ...
  • Generating a concept relation network for Turkish based on conceptnet using translational methods 
    Özçelik, Arif Sırrı. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    ConceptNet is a large-scale network of concepts and relationships, based on var ious common sense knowledge bases and built upon more than 700 thousand sentences contributed by approximately 15 thousand authors. It was ...
  • Generating causal relations from mathematical models 
    Güngör, Tunga. (Thesis (M.S.)- Bogazici University. Institute for Graduate Studies in Science and Engineering, 1989., 1989.)
    System analysis is an important topic for many scientific disciplines. By a system, we mean an orderly, interconnected arrangement of parts describing a phenomenon. The formal representation of systems is done through ...
  • Hierarchical mixtures of generators in generative adversarial networks 
    Ahmetoğlu, Alper. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Generative adversarial networks (GANs) are deep neural networks that are de signed to model complex data distributions. The idea is to create a discriminator net work that learns the borders of the data distribution and a ...
  • Hierarchical multitask learning for language modeling with transformers 
    Aksoy, Çağla. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Recent works show that learning contextualized embeddings for words is bene ficial for natural language processing (NLP) tasks. Bidirectional Encoder Representa tions from Transformers (BERT) is one successful example of ...

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