1 code implementation • SemEval (NAACL) 2022 • Ali Edalat, Yadollah Yaghoobzadeh, Behnam Bahrak
In PCL category detection, our model outperforms the baseline model and achieves an F1-score of 0. 2531.
Ranked #4 on Binary Condescension Detection on DPM
Binary Condescension Detection Multi-label Condescension Detection
1 code implementation • 3 Apr 2024 • Amirhossein Abaskohi, Sara Baruni, Mostafa Masoudi, Nesa Abbasi, Mohammad Hadi Babalou, Ali Edalat, Sepehr Kamahi, Samin Mahdizadeh Sani, Nikoo Naghavian, Danial Namazifard, Pouya Sadeghi, Yadollah Yaghoobzadeh
This paper explores the efficacy of large language models (LLMs) for Persian.
1 code implementation • 25 Feb 2021 • Nazanin Sabri, Ali Edalat, Behnam Bahrak
The rapid production of data on the internet and the need to understand how users are feeling from a business and research perspective has prompted the creation of numerous automatic monolingual sentiment detection systems.