Published in ACM Computing Surveys, 2025
A survey of Legal NLP tasks, datasets and models, including domain adaptation and challenges in evaluation, bias and explainability.
Ariai, F., Mackenzie, J., & Demartini, G. (2025). Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges. ACM Computing Surveys, 58(6), Art. 163, 1–37. doi:10.1145/3777009
Published in Journal of AI & Data Mining, 2024
Aspect-based sentiment analysis of Persian product reviews using ParsBERT and a supporting sentiment lexicon.
Ariai, F., Tayefeh Mahmoudi, M., & Moeini, A. (2024). Enhancing Aspect-Based Sentiment Analysis with ParsBERT in Persian Language. Journal of AI & Data Mining, 12(1), 1–14. doi:10.22044/jadm.2023.13666.2482
Published in IAES International Journal of Robotics & Automation, 2017
Simulation-based comparison of path-planning and data-exchange algorithms for cooperative robotic search.
Aryai, V., Kharazi, M., & Ariai, F. (2017). “Nearest Zero-point” Algorithm for Cooperative Robotic Search Missions. IAES International Journal of Robotics & Automation, 6(1), 49–58. doi:10.11591/ijra.v6i1.pp49-58
Published in Maintenance, Safety, Risk, Management and Life Cycle Performance of Bridges, 2018
Modelling corrosion pits with two-dimensional random fields for reliability analysis of steel bridge girders.
Aryai, V., Mahmoodian, M., Vahidi Ferdowsi, N., & Ariai, F. (2018). Structural Reliability Analysis of Corroding Steel Bridges Using Random-Field Representation. Maintenance, Safety, Risk, Management and Life Cycle Performance of Bridges. 9th International Conference on Bridge Maintenance, Safety & Management (IABMAS 2018), Melbourne.