56 citations · 119 across the 14 of their papers we have counts for
15 papers
Zero-shot Code-Mixed Offensive Span Identification through Rationale Extraction
Manikandan Ravikiran, Bharathi Raja Chakravarthi
This paper investigates the effectiveness of sentence-level transformers for zero-shot offensive span identification on a code-mixed Tamil dataset. More specifically, we evaluate r…
TamilEmo: Finegrained Emotion Detection Dataset for Tamil
Charangan Vasantharajan, Sean Benhur, Prasanna Kumar Kumarasen +8
Emotional Analysis from textual input has been considered both a challenging and interesting task in Natural Language Processing. However, due to the lack of datasets in low-resour…
Developing Successful Shared Tasks on Offensive Language Identification for Dravidian Languages
Bharathi Raja Chakravarthi, Dhivya Chinnappa, Ruba Priyadharshini +7
With the fast growth of mobile computing and Web technologies, offensive language has become more prevalent on social networking platforms. Since offensive language identification…
Dataset for Identification of Homophobia and Transophobia in Multilingual YouTube Comments
Bharathi Raja Chakravarthi, Ruba Priyadharshini, Rahul Ponnusamy +6
The increased proliferation of abusive content on social media platforms has a negative impact on online users. The dread, dislike, discomfort, or mistrust of lesbian, gay, transge…
Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021
Karthik Puranik, Adeep Hande, Ruba Priyadharshini +4
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. The task fo…
Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labeling
Adeep Hande, Karthik Puranik, Konthala Yasaswini +6
Social media has effectively become the prime hub of communication and digital marketing. As these platforms enable the free manifestation of thoughts and facts in text, images and…