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 • 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
no code implementations • 9 Feb 2023 • Taha ShabaniMirzaei, Houmaan Chamani, Amirhossein Abaskohi, Zhivar Sourati Hassan Zadeh, Behnam Bahrak
The Covid-19 pandemic had an enormous effect on our lives, especially on people's interactions.
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.
2 code implementations • SemEval (NAACL) 2022 • Amirhossein Abaskohi, Arash Rasouli, Tanin Zeraati, Behnam Bahrak
Using RoBERTa and mutation-based data augmentation, our best approach achieved an F1-sarcastic of 0. 38 in the competition's evaluation phase.
Ranked #1 on Sarcasm Detection on iSarcasm
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 • 7 Jun 2020 • Aryan Mokhtari, Leyla Sadighi, Behnam Bahrak, Mojtaba Eshghie
In this paper, a new hybrid method is proposed based on various anomaly detection methods such as GARCH, K-means, and Neural Network to determine the anomalous data.
no code implementations • 22 Dec 2019 • Mohammad Saleh Mahdizadeh, Behnam Bahrak
In this paper, we propose a data processing framework to predict user next location.
no code implementations • 1 Dec 2019 • Ebrahim Badrestani, Behnam Bahrak, Ali Elahi, Adib Faramarzi, Pouria Golshanrad, Amin Karimi Monsefi, Hamid Mahini, Armin Zirak
Since this approach can solve the sparsity problem that arises from the absence of cars in many road segments in a specific time interval, matrix factorization is suitable for estimating the travel time.
no code implementations • 17 Oct 2019 • Pouria Golshanrad, Hamid Mahini, Behnam Bahrak
Due to the significance of transportation planning, traffic management, and dispatch optimization, predicting passenger origin-destination has emerged as a crucial requirement for intelligent transportation systems management.
no code implementations • 29 Jan 2019 • Alireza Nejadettehad, Hamid Mahini, Behnam Bahrak
Recurrent neural networks have become one of the most popular methods for time series forecasting, however, due to the variety of these networks, the question that which type is the most appropriate one for this task remains unsolved.