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Browsing M.S. Theses by Subject "Natural language processing (Computer science)"

Browsing M.S. Theses by Subject "Natural language processing (Computer science)"

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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 linguistically motivated information retrieval system for Turkish 
    Pembe, Fatma Canan. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2004., 2004.)
    Information retrieval (IR) has become an important application in today's computer world because of the great increase in the amount of web-based documents and the widespread use of the Internet. However, the classical ...
  • A semantic sentence similarity estimation approach for the biomedical domain 
    Soğancıoğlu, Gizem. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    During the last decades, the use of semantic text similarity has been adopted as a major component in many Natural Language Processing tasks, including text retrieval, summarization, and document categorization. Integration ...
  • A seq2seq transformer model for Turkish spelling correction 
    Batmaz, Şahin. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Natural language processing (NLP) is a fascinating area of artificial intelligence. It allows humans to interact with machines through natural language. There are two main concepts in NLP model architectures, namely input ...
  • Affect analysis of communication texts in Turkish language 
    Oktay, Eda Aydın. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    As digital technologies expanded our range of online communication, textual a ect analysis become the focus of considerable interest in several disciplines. While many studies have been conducted in English language, there ...
  • Analyzing the generalizability of deep contextualized language representations for text classification 
    Büyüköz, Berfu. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    This study evaluates the robustness of two state-of-the-art deep contextual language representations, ELMo and DistilBERT, on supervised learning of binary protest news classi cation and sentiment analysis of product ...
  • Automated semantic tagging of text documents 
    Kalender, Murat. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    The exponential growth of documents is challenging the existing search and content management technology. An approach for mitigating this issue is user-generated tags, a simple method by which users associate keywords to ...
  • Datasets and transformer models for cross-lingual relation classification 
    Köksal, Abdullatif. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Relation classification is one of the key topics in information extraction, which can be used to construct knowledge bases or to provide useful information for question answering. Current approaches for relation classification ...
  • 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 ...
  • 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 ...
  • Hybrid translation system from Turkish spoken language to Turkish sign language 
    Kayahan, Dilek. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Sign Language is the primary tool of communication for deaf and mute people. It employs hand gestures, facial expressions, and body movements to state a word or a phrase. Like spoken languages, sign languages also vary ...
  • Identification of verbal multiword expressions using deep learning architectures and representation learning methods 
    Erden, Berna. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Understanding multiword expressions (MWEs) plays an instrumental role in Natural Language Processing applications such as parsing and machine translation. MWE identi cation is a task that automatically detects and classi ...
  • Identifying event nuggets in Turkish news texts using natural language processing and machine learning methods 
    Durna, Mehmet. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    An event nugget is the smallest textual instance that marks the existence of an event. Detecting event nuggets in a given text opens door to further research and many practical applications such as automatic classification ...
  • Intrinsic and extrinsic evaluation of word embedding models 
    Yeşiltaş, Gökçe. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    In natural language processing tasks, representing a word is an important issue. After Bengio et al. introduced a simple neural network language model that learns word vector representations in 2003, representing words in ...
  • Machine learning methods in natural language processing 
    Güvenç, Betül. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    There is a large number of algorithms for keyword extraction and text summarization in natural language processing, as we discuss some of these in this thesis. We started with a survey on automatic text summarization in ...
  • Morphologically motivated input variations in Turkish - English neural machine translation 
    Yirmibeşoğlu, Zeynep. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Success of neural networks in natural language processing has paved the way for neural machine translation (NMT), which rapidly became the mainstream approach in machine translation. Tremendous improvement in translation ...
  • Multilingual identification of verbal multiword expressions using bidirectional long short-term memory based architectures 
    Berk, Gözde. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Verbal multiword expression (VMWE) identi cation is a challenging task for many natural language processing studies. In this study, sequence tagging approach accompanied with stochastic models and variants of IOB tagging ...
  • 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 ...
  • 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 ...

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