Pınar Karagöz

E-mail
pinark@metu.edu.tr
Department
Department of Computer Engineering
Scopus Author ID
Web of Science Researcher ID
DocSpider: a dataset of cross-domain natural language querying for MongoDB
Özer, Arif Görkem; Çekinel, Recep Fırat; Toroslu, İsmail Hakkı; Karagöz, Pınar (2025-02-12)
Natural language querying allows users to formulate questions in a natural language without requiring specific knowledge of the database query language. Large language models have been very successful in addressing the tex...
Multimodal Fact-Checking with Vision Language Models: A Probing Classifier based Solution with Embedding Strategies.
Karagöz, Pınar; Çekinel, Recep Fırat; Çöltekin, Çağrı (2025-02-01)
Make Satire Boring Again: Reducing Stylistic Bias of Satirical Corpus by Utilizing Generative LLMs
Öztürk, Aslı Umay; Çekinel, Recep Fırat; Karagöz, Pınar (2025-01-20)
BERT and SVM Integration for Fake News Detection in Turkish: Evaluation with a New Dataset T rk e Sahte Haber Tespiti i in BERT ve SVM Entegrasyonu: Yeni Bir Veri K mesi ile De?gerlendirme
Cural, Necla Mutlu; Karabulut, Cemile; Karagöz, Pınar (2025-01-01)
This study presents an expanded new dataset and a hybrid BERT-SVM model for fake news detection in Turkish. As part of the research, news articles collected from FCTR, SOSYALAN, X-Fact datasets and Turkish fact-checking pl...
Leveraging In-Context Learning to Transfer Cross-Domain Knowledge in Click-Through Rate Prediction Baglam I i grenme Kullanilarak Tiklama Orani Tahminlerine apraz Alan Bilgilerinin Aktarilmasi
Aydogdu, Mehmet Erdeniz; Sengor Altingovde, Ismail; Karagöz, Pınar; Toroslu, İsmail Hakkı (2025-01-01)
With the development of large language models, natural language tasks have seen significant improvements, including personalized recommendation. Traditional approaches in recommendation are often based on collaborative fil...
Improving Cross-Domain Recommendation Methods with Factorization Machine Integration C apraz Alan O neri Yo ntemlerinin Fakto rizasyon Makinesi Entegrasyonu ile Iyiles tirilmesi
Colak, Ahmet Eren; Sengor Altingovde, Ismail; Karagöz, Pınar; Toroslu, İsmail Hakkı (2025-01-01)
Cross-domain recommender systems aim to im- prove recommendations in the target domain by exploiting the source domain where abundant data is present. In this study, we investigate the combination of a shallow model, the f...
Data Augmentation with Translation for Turkish Irony Detection T rk e Ironi Tespiti i in eviri ile Veri ogaltimi
Kara, Burak Kemal; Karagöz, Pınar (2025-01-01)
Irony detection in Turkish texts is a challenging task due to the nuanced nature of irony in natural language. The limited availability of irony data for Turkish is also an important limitation to train models. In this stu...
Evaluating the Impact of Client Selection Algorithms on Performance and Training Speed in Heterogeneous Resource Allocation and Non-IID Data
Özdemir, Övgü; DİLEK, AYŞE; Karagöz, Pınar (2024-12-30)
Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model Approach
Çekinel, Recep Fırat; Karagöz, Pınar (2024-12-29)
Enhancing Virtual Environments: Hybrid Approach to Neural Style Transfer
BAHTİYAR, HÜSEYİN; Katipoğlu, Bahadır İrfan; Yüksel, Eda; Toroslu, İsmail Hakkı; Karagöz, Pınar (2024-07-01)
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