174 citations · 331 across the 4 of their papers we have counts for
7 papers
A Dataset and BERT-based Models for Targeted Sentiment Analysis on Turkish Texts
M. Melih Mutlu, Arzucan Özgür
Targeted Sentiment Analysis aims to extract sentiment towards a particular target from a given text. It is a field that is attracting attention due to the increasing accessibility…
Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution
Yi Huang, Buse Giledereli, Abdullatif Köksal +2
Multi-label text classification is a challenging task because it requires capturing label dependencies. It becomes even more challenging when class distribution is long-tailed. Res…
Vapur: A Search Engine to Find Related Protein-Compound Pairs in COVID-19 Literature
Abdullatif Köksal, Hilal Dönmez, Rıza Özçelik +2
Coronavirus Disease of 2019 (COVID-19) created dire consequences globally and triggered an intense scientific effort from different domains. The resulting publications created a hu…
Exploring Chemical Space using Natural Language Processing Methodologies for Drug Discovery
Hakime Öztürk, Arzucan Özgür, Philippe Schwaller +2
Text-based representations of chemicals and proteins can be thought of as unstructured languages codified by humans to describe domain-specific knowledge. Advances in natural langu…
WideDTA: prediction of drug-target binding affinity
Hakime Öztürk, Elif Ozkirimli, Arzucan Özgür
Motivation: Prediction of the interaction affinity between proteins and compounds is a major challenge in the drug discovery process. WideDTA is a deep-learning based prediction mo…
ChemBoost: A chemical language based approach for protein-ligand binding affinity prediction
Rıza Özçelik, Hakime Öztürk, Arzucan Özgür +1
Identification of high affinity drug-target interactions is a major research question in drug discovery. Proteins are generally represented by their structures or sequences. Howeve…