Recep Fırat Çekinel

E-mail
firatc@metu.edu.tr
Department
Department of Computer Engineering
Scopus Author ID
Web of Science Researcher ID
A Survey of Turkic Language Modeling: Challenges, Resources and Future Directions
Çekinel, Recep Fırat; Çöltekin, Çağrı (2025-09-17)
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)
Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model Approach
Çekinel, Recep Fırat; Karagöz, Pınar (2024-12-29)
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish
Çekinel, Recep Fırat; Karagöz, Pınar; Coltekin, Cagri (2024-01-01)
The rapid spread of misinformation through social media platforms has raised concerns regarding its impact on public opinion. While misinformation is prevalent in other languages, the majority of research in this field has...
Enhancing Underground Built Heritage Analysis with Text Mining: A Case Study on Cappadocia
Karagöz, Pınar; Çekinel, Recep Fırat; Doğan, Adnan Harun; OKAY, BERFİNNUR; Öztürk, Aslı Umay; TONAY, TANER SARP; TUNCEL, BURAK METEHAN (Consiglio Nazionale delle Ricerche, 2023-01-01)
Event prediction from news text using subgraph embedding and graph sequence mining
Çekinel, Recep Fırat; Karagöz, Pınar (Springer Science and Business Media LLC, 2022-2-28)
Event detection from textual content by using text mining concepts is a well-researched field in the literature. On the other hand, graph modeling and graph embedding techniques in recent years provide an opportunity to re...
Text-Based Causal Inference on Irony and Sarcasm Detection
Çekinel, Recep Fırat; Karagoz, Pinar (2022)
The state-of-the-art NLP models’ success advanced significantly as their complexity increased in recent years. However, these models tend to consider the statistical correlation between features which may lead to bias. The...
Türkçe Resmi Olmayan Metinlerde İroni Tespiti için Sinirsel Yöntemlerin İncelenmesi
Cidecio, Cenk; Cemek, Yeşim; Öztürk, Aslı Umay; Çekinel, Recep Fırat; Karagöz, Pınar (null; 2020-10-07)
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