4 citations · 9 across the 4 of their papers we have counts for
4 papers
Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasks
Savas Yildirim
Deep learning-based and lately Transformer-based language models have been dominating the studies of natural language processing in the last years. Thanks to their accurate and fas…
Few-shot learning for sentence pair classification and its applications in software engineering
Robert Kraig Helmeczi, Mucahit Cevik, Savas Yıldırım
Few-shot learning-the ability to train models with access to limited data-has become increasingly popular in the natural language processing (NLP) domain, as large language models…
A Prompt-based Few-shot Learning Approach to Software Conflict Detection
Robert K. Helmeczi, Mucahit Cevik, Savas Yıldırım
A software requirement specification (SRS) document is an essential part of the software development life cycle which outlines the requirements that a software program in developme…
Token Classification for Disambiguating Medical Abbreviations
Mucahit Cevik, Sanaz Mohammad Jafari, Mitchell Myers +1
Abbreviations are unavoidable yet critical parts of the medical text. Using abbreviations, especially in clinical patient notes, can save time and space, protect sensitive informat…