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Browsing M.S. Theses by Author "Özgür, Arzucan."

Browsing M.S. Theses by Author "Özgür, Arzucan."

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  • Identifying passages describing protein-protein interaction detection methods in biomedical full text articles using information retrieval methods 
    Aydın, Ferhat. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    Information regarding the physical interactions among proteins is crucial, since protein-protein interactions (PPIs) are central for many biological processes. The experimental techniques used to verify PPIs are also vital ...
  • Mention extraction and normalization using ontologies in the biomedical domain 
    Tiftikci, Mert. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    This thesis proposes a machine learning- and rule-based system for the identifi cation of adverse drug reaction (ADR) entity mentions in the text of drug labels and their normalization through the MedDRA dictionary. The ...
  • Multi-document summarization using dependency grammars 
    Bilgin, Şaziye Betül. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    Information overload is one of the greatest challenges in recent years, especially due to the rapid increase of data produced on the Internet. Automatic summarization of documents about similar topics is a salient solution ...
  • Named entity recognition for Turkish microblog texts using semi-supervised learning with word embeddings 
    Okur, Eda. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    Recently, due to the increasing popularity of social media and the value of information contained within real data, the necessity for extracting information from informal text types such as microblog texts has gained ...
  • Naturl language processing for mining neuroanatomical relations among brain regions 
    Gökdeniz, Erinç. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    Identifying the relations among di erent regions of the brain is vital for a better understanding of how the brain functions. While a large number of studies have investigated the neuroanatomical and neurochemical connections ...
  • Predicting intracellular functions of proteins from amino acid sequences using language processing methods 
    Çaldır, Bedirhan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Rapidly increasing computational power and sequencing technologies, which are at the peak of their development, enable the use of advanced algorithms with high processing volume to predict the intracellular functions of ...
  • Prediction of druggability properties of chemicals using machine learning techniques 
    Kahya, Gamze Ege. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Drug discovery is the process of designing and developing new medicine. The research and clinical experiments for new drug proposals are costly and take a long time. Although there has been proposed a lot of drug-like ...
  • Relation extraction for chemical and protein interactions from biomedical documents 
    Dönmez, Hilal. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    The sharing of chemical-protein interactions (CPI) with the scientific commu nities plays a crucial role in understanding the mechanisms of diseases, as well as in facilitating drug discovery and drug repurposing studies. ...
  • Self-trained discriminative constituency parser with hierarchical joint learning approach 
    Çelebi, Arda. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    Determining the syntactic structure of a sentence is a fundamental step towards understanding what is conveyed in that sentence. The syntactic parse tree of a sentence can be used in several tasks such as information ...
  • Semi-supervised learning based named entity recognition for morphologically rich languages 
    Demir, Hakan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    In this study, we addressed the Named Entity Recognition (NER) problem for morphologically rich languages by employing a semi-supervised learning approach based on neural networks. We adopted a fast unsupervised method for ...
  • Softly semi-supervised learning for bioinformatics applications 
    Çetinkaya Demir, Melis Özgür. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    Binary classi cation of biological data is an important research problem both in the Bioinformatics and Machine Learning elds. This problem is particularly challenging when the number of labeled instances is very few. ...
  • Speaker adapted speech synthesis with deep neural networks 
    Öztürk, Miraç Göksu. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2018.)
    Text-to-speech (TTS) systems have been an assisting technology since the 1970s. Although commercial use has begun decades ago, synthetic speech quality is still not as good as recorded speech. One particular subject of ...
  • Targeted drug design with warm start 
    Uludoğan, Gökçe. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    The generation of novel compounds targeting a protein of interest is a compelling task in the pharmaceutical industry. Deep generative models have been applied to targeted molecular design and have shown promising results. ...
  • Targeted sentiment analysis on Turkish texts 
    Mutlu, Mustafa Melih. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Sentiment Analysis (SA) is one of the Natural Language Processing (NLP) tasks whose goal is to understand subjective information from a piece of text. The increased accessibility to the Internet and thus to social media ...
  • Text normalization using lexical and contextual features 
    Uluşahin Sönmez, Çağıl. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    The informal nature of social media text, renders it very di cult to be automatically processed by natural language processing tools. Text normalization, which corresponds to restoring the noisy words to their canonical ...
  • Using reviews on the web to predict box office success with machine learning methods 
    Sivrikaya, Burak. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Movie production is a serious undertaking that requires a significant amount of investment. The success of a movie, i.e., positive return on investment, can only be realized with a good performance at the box-office well after ...
  • Using transformer networks for detection and normalization of named entities in biomedical texts 
    Pala, İlkay Ramazan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    The increasing difficulty of retrieving relevant information from rapidly growing literature has raised the interest for natural language processing (NLP) systems in the biomedical domain. In many of these systems, detection ...
  • Utilizing out-of-domain data through languaghe modeling based vocabulary saturation for English-Turkish machine translation 
    Aydın, Burak. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    The training data size is of utmost importance for statistical machine translation (SMT), since it a ects the training time, model size, decoding speed, as well as the system's overall success. One of the challenges for ...
  • Word polarity detection using a multilingual approach 
    Özsert, Cüneyd Murad. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    Determining polarity of words is an important task in sentiment analysis with applications in several areas such as text categorization and review analysis. In this thesis, we propose a multilingual approach for word ...

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