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Browsing Bilgisayar Mühendisliği by Subject "Natural language processing (Computer science)"

Browsing Bilgisayar Mühendisliği by Subject "Natural language processing (Computer science)"

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  • Named entity recognition in Turkish using deep learning models and joint learning 
    Akdemir, Arda. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2018.)
    Named Entity Recognition (NER) is the task of detecting and categorizing the entities in a given text. It is an important task in Natural Language Processing (NLP) and forms the basis of many NLP systems. Previous work on ...
  • 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 ...
  • 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 ...
  • Parser evaluation using textual entailments 
    Eker, Önder. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    Syntactic parsing is a basic problem in natural language processing. It can be de ned as assigning a structure to a sentence. Two prevalent approaches to parsing are phrase-structure parsing and dependency parsing. A related ...
  • 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 ...
  • 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 ...
  • Training bidirectional generative adverarial networks with hints 
    Mutlu, Uras. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2019.)
    The generative adversarial network (GAN) is a deep learning architecture that learns a generative model by training a later discriminator to best differentiate “fake” examples generated by the generator from the “true” ...
  • 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 weakly-supervised learning for hashtag segmentation and named entity disambiguation 
    Çelebi, Arda. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Today’s high-performing machine learning algorithms learn to predict by the supervision of large amounts of human-labeled data. However, the labeling process is costly in terms of time and effort. In this thesis, we design ...
  • 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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