Konu "Doğal dil işleme" için listeleme
Toplam kayıt 12, listelenen: 1-12
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All-words word sense disambiguation in Turkish
(Işık Üniversitesi, 2019-09-06)Word sense disambiguation (WSD) is the identi cation of the meaning of words in context in a computational manner. The main subject of this study is to implement and compare the WSD results of various supervised classi ers ... -
Entity-relationship diagram generation with natural language processing and machine learning approach
(Işık Üniversitesi, 2023-08-24)As software systems continue to grow in complexity, the need for efficient and accurate design methodologies becomes increasingly critical. Entity-Relationship Diagrams (ERDs) provide a powerful visual representation of ... -
Kural bazlı otomatik haber etiketleme
(IEEE, 2017-06-27)Bu çalışmada , genel ağ kaynaklarından haber toplayan ve topladığı bu haberleri otomatik olarak etiketleyen kural tabanlı bir uygulama yapılmıştır. Çalışmanın alt amacı hangi özelliklerin etiket belirleme işine daha uygun ... -
Morphological analyser for Turkish
(Işık Üniversitesi, 2018-01-25)Natural Language Processing is one one the fields of work in computer science and specializes in text summarization, machine translation and many various topics. Morphology is one of the Natural Language Processing features ... -
Multi-task learning on mental disorder detection, sentiment detection and emotion detection
(Işık Üniversitesi, 2024-02-12)Suicidal behavior is a global cause of life-threatening injury and most of the time, death. Mental disorders such as depression, anxiety, and bipolar are prevalent among the youth in recent decades. Social media are popular ... -
Paragraph and sentence level semantic textual similarity measurement techniques: An application on solving OSYM exam questions
(Işık Üniversitesi, 2019-09-06)An Application on Solving OSYM Exam Questions Semantic textual similarity is a well-known natural language processing (NLP) task which aims to measure the degree of similarity of two texts in terms of meanings. In this ... -
Rule based entity-relationship diagram modelling
(Işık Üniversitesi, 2022-02-07)Modern society needs to use database system since they involve many activities that are related to database interaction directly. In this study, entity-relationship modeling using Natural Language Processing techniques is ... -
Semantic role labeling for Turkish propbank
(Işık Üniversitesi, 2019-09-06)People's communication with each other takes place through sentences that combine words with different purposes. Words can gain different meanings with the presence of other words in the sentences in which they take place. ... -
Shallow parsing in Turkish
(IEEE, 2017)In this study, shallow parsing is applied on Turkish sentences. These sentences are used to train and test the per-formances of various learning algorithms with various features specified for shallow parsing in Turkish. -
Türkçe anlamsal söylem ve cümle benzerliği analizleri için veri kümesi oluşturma yöntemi
(IEEE, 2018-12-06)Çalışmamızın amacı Türkçe için paragraf-cümle düzeyinde anlamsal söylem analizi ve paragraf-cümle ve cümle-cümle düzeyinde metinsel benzerlik ölçümlemesi için bir veri kümesi hazırlamaktır. -
Vikipedi ve Vikisözlük'ten Hypernym çıkarma
(IEEE, 2017-06-27)Doğal dil işleme alanında kullanılan önemli yapılardan bir tanesi WordNet gibi büyük ölçekli sözlüklerdir. WordNet; eşanlamlı, zıt anlamlı gibi anlamsal ilişkileri de içeren kapsamlı bir sözlüktür. Bu bildiride, WordNet’in ... -
Word sense disambiguation, named entity recognition, and shallow parsing tasks for Turkish
(Işık Üniversitesi, 2019-04-02)People interactions are based on sentences. The process of understanding sentences is thru converging, parsing the words and making sense of words. The ultimate goal of Natural Language Processing is to understand the ...