1.8k citations · 2.2k across the 17 of their papers we have counts for
4 papers · 1 filter
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…
A Hybrid Approach to Dependency Parsing: Combining Rules and Morphology with Deep Learning
Şaziye Betül Özateş, Arzucan Özgür, Tunga Güngör +1
Fully data-driven, deep learning-based models are usually designed as language-independent and have been shown to be successful for many natural language processing tasks. However,…
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…
Resources for Turkish Dependency Parsing: Introducing the BOUN Treebank and the BoAT Annotation Tool
Utku Türk, Furkan Atmaca, Şaziye Betül Özateş +6
In this paper, we introduce the resources that we developed for Turkish dependency parsing, which include a novel manually annotated treebank (BOUN Treebank), along with the guidel…