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ORCIDSavas Yildirim
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2020 – today
- 2024
[i6]Savas Yildirim:
Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasks. CoRR abs/2401.17396 (2024)- 2023
- [j8]Mucahit Cevik, Sanaz Mohammad Jafari, Mitchell Myers, Savas Yildirim:
Sequence Labeling for Disambiguating Medical Abbreviations. J. Heal. Informatics Res. 7(4): 501-526 (2023) - [c21]Robert K. Helmeczi, Savas Yildirim, Mucahit Cevik, Sojin Lee:
Few shot learning approaches to essay scoring. Canadian AI 2023 - [c20]Garima Malik, Savas Yildirim, Mucahit Cevik, Ayse Bener:
An Empirical Study on Vagueness Detection in Privacy Policy Texts. Canadian AI 2023 - [c19]Sanaz Mohammad Jafari, Savas Yildirim, Mucahit Cevik, Ayse Basar:
Anaphoric Ambiguity Resolution in Software Requirement Texts. IEEE Big Data 2023: 4722-4730 - [c18]Savas Yildirim, Mucahit Cevik, Ayse Basar:
Few-shot Learning Approaches to Software Requirement Quality Prediction. CASCON 2023: 155-160 - [c17]Polona Caserman
, Philipp Niklas Müller, Thorsten Göbel, Pascal Tonecker, Savas Yildirim, André Kecke, Dennis Purdack, Stefan Göbel:
Virtual Reality Simulator for Police Training with AI-Supported Cover Detection. JCSG 2023: 181-193 - [i5]Savas Yildirim, Mucahit Cevik, Devang Parikh, Ayse Basar:
Adaptive Fine-tuning for Multiclass Classification over Software Requirement Data. CoRR abs/2301.00495 (2023) - [i4]Garima Malik, Savas Yildirim, Mucahit Cevik, Ayse Bener, Devang Parikh:
Transfer learning for conflict and duplicate detection in software requirement pairs. CoRR abs/2301.03709 (2023) - [i3]Robert Kraig Helmeczi, Mucahit Cevik, Savas Yildirim:
Few-shot learning for sentence pair classification and its applications in software engineering. CoRR abs/2306.08058 (2023) - 2022
- [c16]Garima Malik, Mucahit Cevik, Swayami Bera, Savas Yildirim, Devang Parikh, Ayse Basar:
Software requirement specific entity extraction using transformer models. Canadian AI 2022 - [c15]Robert K. Helmeczi, Mucahit Cevik, Savas Yildirim:
A Prompt-based Few-shot Learning Approach to Software Conflict Detection. CASCON 2022: 101-109 - [i2]Mucahit Cevik, Sanaz Mohammad Jafari, Mitchell Myers, Savas Yildirim:
Token Classification for Disambiguating Medical Abbreviations. CoRR abs/2210.02487 (2022) - [i1]Robert K. Helmeczi, Mucahit Cevik, Savas Yildirim:
A Prompt-based Few-shot Learning Approach to Software Conflict Detection. CoRR abs/2211.02709 (2022) - 2021
- [c14]Mucahit Cevik, Savas Yildirim, Ayse Basar:
Natural language processing for software requirement specifications. CASCON 2021: 308-309 - 2020
- [c13]Savas Yildirim, Sebnem Günes Söyler, Özgür Akarsu:
Building A Non-Personalized Recommender System by Learning Product and Basket Representation. IEEE BigData 2020: 4450-4455
2010 – 2019
- 2019
- [j7]Savas Yildirim:
Improving word embeddings projection for Turkish hypernym extraction. Turkish J. Electr. Eng. Comput. Sci. 27(6): 4418-4428 (2019) - [j6]Tugba Yildiz, Savas Yildirim:
A cascaded framework for identification and extraction of antonym for Turkish language. Soft Comput. 23(17): 7853-7864 (2019) - [c12]Savas Yildirim, Dhanya Jothimani, Can Kavaklioglu, Ayse Basar:
Deep Learning Approaches for Sentiment Analysis on Financial Microblog Dataset. IEEE BigData 2019: 5581-5584 - 2018
- [j5]Savas Yildirim, Tugba Yildiz:
Learning Turkish Hypernymy UsingWord Embeddings. Int. J. Comput. Intell. Syst. 11(1): 371-383 (2018) - [c11]Savas Yildirim, Dhanya Jothimani, Can Kavaklioglu, Ayse Basar:
Classification of "Hot News" for Financial Forecast Using NLP Techniques. IEEE BigData 2018: 4719-4722 - [c10]Ahmet Suerdem, Tugba Dalyan, Savas Yildirim:
Detection of Change in the Senses of AI in Popular Discourse. CICLing (2) 2018: 46-58 - 2017
- [j4]Tugba Yildiz, Banu Diri, Savas Yildirim:
Turkish synonym identification from multiple resources: monolingual corpus, mono/bilingual online dictionaries, and WordNet. Turkish J. Electr. Eng. Comput. Sci. 25: 752-760 (2017) - 2016
- [j3]Tugba Yildiz, Banu Diri, Savas Yildirim:
Acquisition of Turkish meronym based on classification of patterns. Pattern Anal. Appl. 19(2): 495-507 (2016) - 2015
- [j2]Savas Yildirim, Tugba Yildiz:
An Unsupervised Text Normalization Architecture for Turkish Language. Res. Comput. Sci. 90: 183-194 (2015) - 2014
- [c9]Savas Yildirim:
A Knowledge-Poor Approach to Turkish Text Categorization. CICLing (2) 2014: 428-440 - [c8]Tugba Yildiz, Savas Yildirim, Banu Diri:
An Integrated Approach to Automatic Synonym Detection in Turkish Corpus. PolTAL 2014: 116-127 - 2013
- [c7]Tugba Yildiz, Savas Yildirim, Banu Diri:
Extraction of Part-Whole Relations from Turkish Corpora. CICLing (1) 2013: 126-138 - [c6]Tugba Yildiz, Savas Yildirim, Banu Diri:
A Study on Turkish Meronym Extraction Using a Variety of Lexico-Syntactic Patterns. LTC 2013: 386-394 - 2012
- [c5]Savas Yildirim, Tugba Yildiz:
Corpus-Driven Hyponym Acquisition for Turkish Language. CICLing (1) 2012: 29-41 - [c4]Savas Yildirim, Tugba Yildiz:
Automatic Extraction of Turkish Hypernym-Hyponym Pairs From Large Corpus. COLING (Demos) 2012: 493-500
2000 – 2009
- 2009
- [j1]Yilmaz Kiliçaslan, Edip Serdar Güner, Savas Yildirim:
Learning-based pronoun resolution for Turkish with a comparative evaluation. Comput. Speech Lang. 23(3): 311-331 (2009) - 2008
- [b1]Savas Yildirim:
Türkçe derlemlerdeki artgönderimlerin tümdengelimli ve tümevarımlı yöntemlerle çözümlenmesi (Resolving anaphora in Turkish text using inductive and deductive methods). Trakya University, Turkey, 2008 - 2007
- [c3]Savas Yildirim, Yilmaz Kiliçaslan:
A Machine Learning Approach to Personal Pronoun Resolution in Turkish. FLAIRS 2007: 269-270 - [c2]Savas Yildirim, Yilmaz Kiliçaslan, Tugba Yildiz:
Pronoun Resolution in Turkish Using Decision Tree and Rule-Based Learning Algorithms. LTC 2007: 270-278 - 2004
- [c1]Savas Yildirim, Yilmaz Kiliçaslan, R. Erman Aykaç:
A Computational Model for Anaphora Resolution in Turkish via Centering Theory: an Initial Approach. International Conference on Computational Intelligence 2004: 124-128
Coauthor Index
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