1 code implementation • RANLP 2021 • Nazanin Sabri, Reyhane Akhavan, Behnam Bahrak
The wide reach of social media platforms, such as Twitter, have enabled many users to share their thoughts, opinions and emotions on various topics online.
1 code implementation • 21 Dec 2022 • Jiongli Zhu, Sainyam Galhotra, Nazanin Sabri, Babak Salimi
This paper proposes a novel framework for certifying the fairness of predictive models trained on biased data.
1 code implementation • 15 Nov 2022 • Amirhossein Abaskohi, Nazanin Sabri, Behnam Bahrak
EmoPars and ArmanEmo are two new human-labeled emotion datasets for the Persian language.
1 code implementation • SEMEVAL 2021 • Alireza Salemi, Nazanin Sabri, Emad Kebriaei, Behnam Bahrak, Azadeh Shakery
Detecting which parts of a sentence contribute to that sentence's toxicity -- rather than providing a sentence-level verdict of hatefulness -- would increase the interpretability of models and allow human moderators to better understand the outputs of the system.
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.
no code implementations • 7 Dec 2020 • Yasaman Jafari, Nazanin Sabri, Behnam Bahrak
Sharing our goals with others and setting public challenges for ourselves is a topic that has been the center of many discussions.
Social and Information Networks
no code implementations • SEMEVAL 2019 • Emad Kebriaei, Samaneh Karimi, Nazanin Sabri, Azadeh Shakery
In this paper, the used methods and the results obtained by our team, entitled Emad, on the OffensEval 2019 shared task organized at SemEval 2019 are presented.