A Computational Model for Anaphora Resolution in Turkish via Centering Theory: an Initial Approach. - Savas Yildirim; Yilmaz Kiliçaslan; R. Erman Aykaç (International Conference on Computational Intelligence, 2004)

A Machine Learning Approach to Personal Pronoun Resolution in Turkish. - Savas Yildirim; Yilmaz Kiliçaslan (FLAIRS, 2007)

Pronoun Resolution in Turkish Using Decision Tree and Rule-Based Learning Algorithms. - Savas Yildirim; Yilmaz Kiliçaslan; Tugba Yildiz (LTC, 2007)

Türkçe derlemlerdeki artgönderimlerin tümdengelimli ve tümevarımlı yöntemlerle çözümlenmesi (Resolving anaphora in Turkish text using inductive and deductive methods) - Savas Yildirim (2008)

Learning-based pronoun resolution for Turkish with a comparative evaluation. - Yilmaz Kiliçaslan; Edip Serdar Güner; Savas Yildirim (Comput. Speech Lang., 2009)

Corpus-Driven Hyponym Acquisition for Turkish Language. - Savas Yildirim; Tugba Yildiz (CICLing (1), 2012)

Automatic Extraction of Turkish Hypernym-Hyponym Pairs From Large Corpus. - Savas Yildirim; Tugba Yildiz (COLING (Demos), 2012)

Extraction of Part-Whole Relations from Turkish Corpora. - Tugba Yildiz; Savas Yildirim; Banu Diri (CICLing (1), 2013)

A Study on Turkish Meronym Extraction Using a Variety of Lexico-Syntactic Patterns. - Tugba Yildiz; Savas Yildirim; Banu Diri (LTC, 2013)

A Knowledge-Poor Approach to Turkish Text Categorization. - Savas Yildirim (CICLing (2), 2014)

An Integrated Approach to Automatic Synonym Detection in Turkish Corpus. - Tugba Yildiz; Savas Yildirim; Banu Diri (PolTAL, 2014)

An Unsupervised Text Normalization Architecture for Turkish Language. - Savas Yildirim; Tugba Yildiz (Res. Comput. Sci., 2015)

Acquisition of Turkish meronym based on classification of patterns. - Tugba Yildiz; Banu Diri; Savas Yildirim (Pattern Anal. Appl., 2016)

Turkish synonym identification from multiple resources: monolingual corpus, mono/bilingual online dictionaries, and WordNet. - Tugba Yildiz; Banu Diri; Savas Yildirim (Turkish J. Electr. Eng. Comput. Sci., 2017)

Classification of "Hot News" for Financial Forecast Using NLP Techniques. - Savas Yildirim; Dhanya Jothimani; Can Kavaklioglu; Ayse Basar (IEEE BigData, 2018)

Detection of Change in the Senses of AI in Popular Discourse. - Ahmet Suerdem; Tugba Dalyan; Savas Yildirim (CICLing (2), 2018)

Learning Turkish Hypernymy UsingWord Embeddings. - Savas Yildirim; Tugba Yildiz (Int. J. Comput. Intell. Syst., 2018)

Deep Learning Approaches for Sentiment Analysis on Financial Microblog Dataset. - Savas Yildirim; Dhanya Jothimani; Can Kavaklioglu; Ayse Basar (IEEE BigData, 2019)

Improving word embeddings projection for Turkish hypernym extraction. - Savas Yildirim (Turkish J. Electr. Eng. Comput. Sci., 2019)

A cascaded framework for identification and extraction of antonym for Turkish language. - Tugba Yildiz; Savas Yildirim (Soft Comput., 2019)

Building A Non-Personalized Recommender System by Learning Product and Basket Representation. - Savas Yildirim; Sebnem Günes Söyler; Özgür Akarsu (IEEE BigData, 2020)

Natural language processing for software requirement specifications. - Mucahit Cevik; Savas Yildirim; Ayse Basar (CASCON, 2021)

Software requirement specific entity extraction using transformer models. - Garima Malik; Mucahit Cevik; Swayami Bera; Savas Yildirim; Devang Parikh; Ayse Basar (Canadian AI, 2022)

A Prompt-based Few-shot Learning Approach to Software Conflict Detection. - Robert K. Helmeczi; Mucahit Cevik; Savas Yildirim (CASCON, 2022)

Token Classification for Disambiguating Medical Abbreviations. - Mucahit Cevik; Sanaz Mohammad Jafari; Mitchell Myers; Savas Yildirim (CoRR, 2022)

Few shot learning approaches to essay scoring. - Robert K. Helmeczi; Savas Yildirim; Mucahit Cevik; Sojin Lee (Canadian AI, 2023)

An Empirical Study on Vagueness Detection in Privacy Policy Texts. - Garima Malik; Savas Yildirim; Mucahit Cevik; Ayse Bener (Canadian AI, 2023)

Anaphoric Ambiguity Resolution in Software Requirement Texts. - Sanaz Mohammad Jafari; Savas Yildirim; Mucahit Cevik; Ayse Basar (IEEE Big Data, 2023)

Few-shot Learning Approaches to Software Requirement Quality Prediction. - Savas Yildirim; Mucahit Cevik; Ayse Basar (CASCON, 2023)

Virtual Reality Simulator for Police Training with AI-Supported Cover Detection. - Polona Caserman; Philipp Niklas Müller; Thorsten Göbel; Pascal Tonecker; Savas Yildirim; André Kecke; Dennis Purdack; Stefan Göbel 001 (JCSG, 2023)

Adaptive Fine-tuning for Multiclass Classification over Software Requirement Data. - Savas Yildirim; Mucahit Cevik; Devang Parikh; Ayse Basar (CoRR, 2023)

Transfer learning for conflict and duplicate detection in software requirement pairs. - Garima Malik; Savas Yildirim; Mucahit Cevik; Ayse Bener; Devang Parikh (CoRR, 2023)

Few-shot learning for sentence pair classification and its applications in software engineering. - Robert Kraig Helmeczi; Mucahit Cevik; Savas Yildirim (CoRR, 2023)

Sequence Labeling for Disambiguating Medical Abbreviations. - Mucahit Cevik; Sanaz Mohammad Jafari; Mitchell Myers; Savas Yildirim (J. Heal. Informatics Res., 2023)

Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasks. - Savas Yildirim (CoRR, 2024)

Setting Standards in Turkish NLP: TR-MMLU for Large Language Model Evaluation. - M. Ali Bayram; Ali Arda Fincan; Ahmet Semih Gümüs; Banu Diri; Savas Yildirim; Öner Aytas (CoRR, 2025)

Tokenization Standards for Linguistic Integrity: Turkish as a Benchmark. - M. Ali Bayram; Ali Arda Fincan; Ahmet Semih Gümüs; Sercan Karakas; Banu Diri; Savas Yildirim (CoRR, 2025)