Arş. Gör. RECEP FIRAT ÇEKİNEL

Yayın Ağı

Makaleler 3

1. DocSpider: a dataset of cross-domain natural language querying for MongoDB

ÖZER A. G., ÇEKİNEL R. F., TOROSLU İ. H., KARAGÖZ P.

NATURAL LANGUAGE PROCESSING , cilt.31, sa.6, ss.1367-1398, 2025 (SCI-Expanded, AHCI, SSCI, Scopus)

2. Event prediction from news text using subgraph embedding and graph sequence mining

Çekinel R. F., Karagöz P.

WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS , cilt.25, sa.6, ss.2403-2428, 2022 (SCI-Expanded, Scopus)

3. Extracting Potentially High Profit Product Feature Groups by Using High Utility Pattern Mining and Aspect Based Sentiment Analysis

Demir S., Alkan O., Cekinel F., KARAGÖZ P.

HIGH-UTILITY PATTERN MINING: THEORY, ALGORITHMS AND APPLICATIONS , cilt.51, ss.233-260, 2019 (SCI-Expanded)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 10

1. A Survey of Turkic Language Modeling: Challenges, Resources and Future Directions

Çekinel R. F., Çöltekin Ç.

2025 10th International Conference on Computer Science and Engineering (UBMK), İstanbul, Türkiye, 17 Eylül 2025, ss.1667-1672, (Tam Metin Bildiri)

2. Multimodal Fact-Checking with Vision Language Models: A Probing Classifier based Solution with Embedding Strategies.

Karagöz P., Çekinel R. F., Çöltekin Ç.

31st International Conference on Computational Linguistics (COLING), Abu Dhabi, Birleşik Arap Emirlikleri, 19 - 24 Ocak 2025, ss.4622-4633, (Tam Metin Bildiri)

3. Make Satire Boring Again: Reducing Stylistic Bias of Satirical Corpus by Utilizing Generative LLMs

Öztürk A. U., Çekinel R. F., Karagöz P.

18th Workshop on Building and Using Comparable Corpora, COLING 2025, Abu Dhabi, Birleşik Arap Emirlikleri, 19 - 24 Ocak 2025, ss.1-10, (Tam Metin Bildiri)

4. Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model Approach

ÇEKİNEL R. F., KARAGÖZ P.

IEEE International Conference on Big Data (BigData 2024), Washington, Kiribati, 15 - 18 Aralık 2024, (Tam Metin Bildiri)

5. Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish

Çekinel R. F., Karagöz P., Coltekin C.

Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024, Hybrid, Torino, İtalya, 20 - 25 Mayıs 2024, ss.4127-4142, (Tam Metin Bildiri)

6. Text-Based Causal Inference on Irony and Sarcasm Detection

Çekinel R. F., Karagöz P.

24th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2022, Vienna, Avusturya, 22 - 24 Ağustos 2022, cilt.13428 LNCS, ss.31-45, (Tam Metin Bildiri)

7. Türkçe Resmi Olmayan Metinlerde İroni Tespiti için Sinirsel Yöntemlerin İncelenmesi

Cidecio C., Cemek Y., Öztürk A. U., ÇEKİNEL R. F., KARAGÖZ P.

Sinyal İşleme Uygulamaları (SIU), Türkiye, 5 - 07 Ekim 2020, (Tam Metin Bildiri)

8. Investigating the Neural Models for Irony Detection on Turkish Informal Texts

Cemek Y., Cidecio C., Ozturk A. U., Cekinel R. F., Karagoz P.

28th Signal Processing and Communications Applications Conference (SIU), ELECTR NETWORK, 5 - 07 Ekim 2020, (Tam Metin Bildiri)

9. Simülasyon Kayıtlarının Verimli Saklanması ve İşlenmesi

Çekinel R. F., Karagöz P., Poyraz D., Çilden E., Oğuztüzün M. H. S., Gültekin E.

Ulusal Savunma Uygulamaları Modelleme ve Simülasyon Konferansı, Ankara, Türkiye, 19 - 20 Kasım 2019, (Tam Metin Bildiri)

10. Named Entity Recognition with Conditional Random Fields on Turkish News Dataset: Revisiting the Features

Çekinel R. F., Mustafa A., Karagöz P., Yılmaz B.

2019 27th Signal Processing and Communications Applications Conference (SIU), Sivas, Türkiye, 24 - 26 Nisan 2019, (Tam Metin Bildiri)

Kitaplar 3

1. Enhancing Underground Built Heritage Analysis with Text Mining: A Case Study on Cappadocia

KARAGÖZ P., ÇEKİNEL R. F., DOĞAN A. H., OKAY B., ÖZTÜRK A. U., TONAY T. S., et al.

Valorising Underground Built Heritage in Cappadocia, Muge Akkar Ercan Muge, Aydıner Kerim, Editör, Consiglio Nazionale delle Ricerche, Napoli, ss.61-92, 2023

2. Text-Based Causal Inference on Irony and Sarcasm Detection

Çekinel R. F., Karagöz P.

Lecture Notes in Computer Science, Elisa Bertino,Wen Gao,Bernhard Steffen,Moti Yung, Editör, Springer, London/Berlin , London, ss.31-45, 2022

3. Extracting Potentially High Profit Product Feature Groups by Using High Utility Pattern Mining and Aspect Based Sentiment Analysis

Demir S., Alkan Ö., Çekinel R. F., Karagöz P.

High-Utility Pattern Mining, Fournier-Viger P.,Lin JW.,Nkambou R.,Vo B.,Tseng V., Editör, Springer, London/Berlin , Zürich, ss.233-260, 2019

Metrikler

Arş. Gör. RECEP FIRAT ÇEKİNEL

Yayınlar & Eserler

1. DocSpider: a dataset of cross-domain natural language querying for MongoDB

2. Event prediction from news text using subgraph embedding and graph sequence mining

3. Extracting Potentially High Profit Product Feature Groups by Using High Utility Pattern Mining and Aspect Based Sentiment Analysis

1. A Survey of Turkic Language Modeling: Challenges, Resources and Future Directions

2. Multimodal Fact-Checking with Vision Language Models: A Probing Classifier based Solution with Embedding Strategies.

3. Make Satire Boring Again: Reducing Stylistic Bias of Satirical Corpus by Utilizing Generative LLMs

4. Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model Approach

5. Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish

6. Text-Based Causal Inference on Irony and Sarcasm Detection

7. Türkçe Resmi Olmayan Metinlerde İroni Tespiti için Sinirsel Yöntemlerin İncelenmesi

8. Investigating the Neural Models for Irony Detection on Turkish Informal Texts

9. Simülasyon Kayıtlarının Verimli Saklanması ve İşlenmesi

10. Named Entity Recognition with Conditional Random Fields on Turkish News Dataset: Revisiting the Features

1. Enhancing Underground Built Heritage Analysis with Text Mining: A Case Study on Cappadocia

2. Text-Based Causal Inference on Irony and Sarcasm Detection

3. Extracting Potentially High Profit Product Feature Groups by Using High Utility Pattern Mining and Aspect Based Sentiment Analysis

Yayın

Yayın (WoS)

Yayın (Scopus)

Atıf (WoS)

H-İndeks (WoS)

Atıf (Scopus)

H-İndeks (Scopus)

Atıf (Scholar)

H-İndeks (Scholar)

Atıf (Sobiad)

H-İndeks (Sobiad)

Atıf (Diğer Toplam)

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