144 citations · 175 across the 3 of their papers we have counts for
3 papers
Leveraging ParsBERT and Pretrained mT5 for Persian Abstractive Text Summarization
Mehrdad Farahani, Mohammad Gharachorloo, Mohammad Manthouri
Text summarization is one of the most critical Natural Language Processing (NLP) tasks. More and more researches are conducted in this field every day. Pre-trained transformer-base…
ParsBERT: Transformer-based Model for Persian Language Understanding
Mehrdad Farahani, Mohammad Gharachorloo, Marzieh Farahani +1
The surge of pre-trained language models has begun a new era in the field of Natural Language Processing (NLP) by allowing us to build powerful language models. Among these models,…
Short-Term Traffic Flow Prediction Using Variational LSTM Networks
Mehrdad Farahani, Marzieh Farahani, Mohammad Manthouri +1
Traffic flow characteristics are one of the most critical decision-making and traffic policing factors in a region. Awareness of the predicted status of the traffic flow has prime…