no code implementations • SMM4H (COLING) 2022 • Gökçe Uludoğan, Zeynep Yirmibeşoğlu
This paper describes models developed for the Social Media Mining for Health 2022 Shared Task.
1 code implementation • 25 Jan 2024 • Gökçe Uludoğan, Zeynep Yirmibeşoğlu Balal, Furkan Akkurt, Melikşah Türker, Onur Güngör, Susan Üsküdarlı
In this work, we introduce the language model TURNA, which is developed for the low-resource language Turkish and is capable of both natural language understanding and generation tasks.
no code implementations • 26 Oct 2022 • Asu Büşra Temizer, Gökçe Uludoğan, Rıza Özçelik, Taha Koulani, Elif Ozkirimli, Kutlu O. Ulgen, Nilgün Karalı, Arzucan Özgür
To this end, we build a language-inspired pipeline that treats high affinity ligands of protein targets as documents and selects key chemical words making up those ligands based on tf-idf weighting.
1 code implementation • 2 Sep 2022 • Gökçe Uludoğan, Elif Ozkirimli, Kutlu O. Ulgen, Nilgün Karalı, Arzucan Özgür
On the other hand, large amounts of unlabeled protein sequences and chemical compounds are available and have been used to train language models that learn useful representations.