@inproceedings{fahim-2023-aambela-blp,
    title = "Aambela at {BLP}-2023 Task 2: Enhancing {B}angla{BERT} Performance for {B}angla Sentiment Analysis Task with In Task Pretraining and Adversarial Weight Perturbation",
    author = "Fahim, Md",
    editor = "Alam, Firoj  and
      Kar, Sudipta  and
      Chowdhury, Shammur Absar  and
      Sadeque, Farig  and
      Amin, Ruhul",
    booktitle = "Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2023.banglalp-1.42/",
    doi = "10.18653/v1/2023.banglalp-1.42",
    pages = "317--323",
    abstract = "This paper introduces the top-performing approachof {\textquotedblleft}Aambela{\textquotedblright} for the BLP-2023 Task2: {\textquotedblleft}Sentiment Analysis of Bangla Social MediaPosts{\textquotedblright}. The objective of the task was tocreate systems capable of automatically detectingsentiment in Bangla text from diverse socialmedia posts. My approach comprised finetuninga Bangla Language Model with threedistinct classification heads. To enhance performance,we employed two robust text classificationtechniques. To arrive at a final prediction,we employed a mode-based ensemble approachof various predictions from different models,which ultimately resulted in the 1st place in thecompetition."
}