no code implementations • • Anbukkarasi Sampath, Thenmozhi Durairaj, Bharathi Raja Chakravarthi, Ruba Priyadharshini, Subalalitha Cn, Kogilavani Shanmugavadivel, Sajeetha Thavareesan, Sathiyaraj Thangasamy, Parameswari Krishnamurthy, Adeep Hande, Sean Benhur, Kishore Ponnusamy, Santhiya Pandiyan
This paper presents the dataset used in the shared task, task description, and the methodology used by the participants and the evaluation results of the submission.
no code implementations • 9 Feb 2022 • Charangan Vasantharajan, Sean Benhur, Prasanna Kumar Kumarasen, Rahul Ponnusamy, Sathiyaraj Thangasamy, Ruba Priyadharshini, Thenmozhi Durairaj, Kanchana Sivanraju, Anbukkarasi Sampath, Bharathi Raja Chakravarthi, John Phillip McCrae
Our MURIL-base model has achieved a 0. 60 macro average F1-score across our 3-class group dataset.
To tackle the conundrum of detecting offensive comments/posts which are considerably informal, unstructured, miswritten and code-mixed, we introduce two inventive methods in this research paper.
1 code implementation • 27 Aug 2021 • Adeep Hande, Karthik Puranik, Konthala Yasaswini, Ruba Priyadharshini, Sajeetha Thavareesan, Anbukkarasi Sampath, Kogilavani Shanmugavadivel, Durairaj Thenmozhi, Bharathi Raja Chakravarthi
We fine-tune several recent pretrained language models on the newly constructed dataset.
This paper reports the Machine Translation (MT) systems submitted by the IIITT team for the English->Marathi and English->Irish language pairs LoResMT 2021 shared task.
Numerous methods have been developed to monitor the spread of negativity in modern years by eliminating vulgar, offensive, and fierce comments from social media platforms.
Ranked #1 on Hope Speech Detection on KanHope