@inproceedings{u-hegde-etal-2021-uvce,
    title = "{UVCE}-{IIITT}@{D}ravidian{L}ang{T}ech-{EACL}2021: {T}amil Troll Meme Classification: You need to Pay more Attention",
    author = "U Hegde, Siddhanth  and
      Hande, Adeep  and
      Priyadharshini, Ruba  and
      Thavareesan, Sajeetha  and
      Chakravarthi, Bharathi Raja",
    booktitle = "Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages",
    month = apr,
    year = "2021",
    address = "Kyiv",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.dravidianlangtech-1.24",
    pages = "180--186",
    abstract = "Tamil is a Dravidian language that is commonly used and spoken in the southern part of Asia. During the 21st century and in the era of social media, memes have been a fun moment during the day to day life of people. Here, we try to analyze the true meaning of Tamil memes by classifying them as troll or non-troll. We present an ingenious model consisting of transformer-transformer architecture that tries to attain state of the art by using attention as its main component. The dataset consists of troll and non-troll images with their captions as texts. The task is a binary classification task. The objective of the model was to pay more and more attention to the extracted features and to ignore the noise in both images and text.",
}