activity
20202024
most citedThe Better Your Syntax, the Better Your Semantics? Probing Pretrained Language Models for the English Comparative Correlative

3 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL20241 cited

MURI: High-Quality Instruction Tuning Datasets for Low-Resource Languages via Reverse Instructions

Abdullatif Köksal, Marion Thaler, Ayyoob Imani +3

Instruction tuning enhances large language models (LLMs) by aligning them with human preferences across diverse tasks. Traditional approaches to create instruction tuning datasets…

cs.CL20223 cited

The Better Your Syntax, the Better Your Semantics? Probing Pretrained Language Models for the English Comparative Correlative

Leonie Weissweiler, Valentin Hofmann, Abdullatif Köksal +1

Construction Grammar (CxG) is a paradigm from cognitive linguistics emphasising the connection between syntax and semantics. Rather than rules that operate on lexical items, it pos…

cs.CL20211 cited

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…

cs.CL2020

The RELX Dataset and Matching the Multilingual Blanks for Cross-Lingual Relation Classification

Abdullatif Köksal, Arzucan Özgür

Relation classification is one of the key topics in information extraction, which can be used to construct knowledge bases or to provide useful information for question answering.…

cs.IR2020

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…