Search Results for author:
Found 14 papers, 7 papers with code
IIITT@DravidianLangTech-EACL2021: Transfer Learning for Offensive Language Detection in Dravidian Languages
This paper demonstrates our work for the shared task on Offensive Language Identification in Dravidian Languages-EACL 2021.
OffTamil@DravideanLangTech-EASL2021: Offensive Language Identification in Tamil Text
In the last few decades, Code-Mixed Offensive texts are used penetratingly in social media posts.
Findings of the Shared Task on Offensive Span Identification fromCode-Mixed Tamil-English Comments
Offensive content moderation is vital in social media platforms to support healthy online discussions.
Findings of the Shared Task on Emotion Analysis in Tamil
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.
Findings of the Shared Task on Offensive Span Identification from Code-Mixed Tamil-English Comments
Offensive content moderation is vital in social media platforms to support healthy online discussions.
Findings of the Sentiment Analysis of Dravidian Languages in Code-Mixed Text
We received 22 systems for Tamil-English, 15 systems for Malayalam-English, and 15 for Kannada-English.
Developing Successful Shared Tasks on Offensive Language Identification for Dravidian Languages
With the fast growth of mobile computing and Web technologies, offensive language has become more prevalent on social networking platforms.
Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labeling
We fine-tune several recent pretrained language models on the newly constructed dataset.
Do Images really do the Talking? Analysing the significance of Images in Tamil Troll meme classification
Our work illustrates different textual analysis methods and contrasting multimodal methods ranging from simple merging to cross attention to utilising both worlds' - best visual and textual features.
IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in Transformers
In a world filled with serious challenges like climate change, religious and political conflicts, global pandemics, terrorism, and racial discrimination, an internet full of hate speech, abusive and offensive content is the last thing we desire for.
IIITK@LT-EDI-EACL2021: Hope Speech Detection for Equality, Diversity, and Inclusion in Tamil , Malayalam and English
This paper describes the IIITK’s team submissions to the hope speech detection for equality, diversity and inclusion in Dravidian languages shared task organized by LT-EDI 2021 workshop@EACL 2021.
UVCE-IIITT@DravidianLangTech-EACL2021: Tamil Troll Meme Classification: You need to Pay more Attention
We propose an ingenious model comprising of a transformer-transformer architecture that tries to attain state-of-the-art by using attention as its main component.
Ranked #2 on
Meme Classification
on Tamil Memes
IIITK@DravidianLangTech-EACL2021: Offensive Language Identification and Meme Classification in Tamil, Malayalam and Kannada
This paper describes the IIITK team’s submissions to the offensive language identification, and troll memes classification shared tasks for Dravidian languages at DravidianLangTech 2021 workshop@EACL 2021.
NUIG-Shubhanker@Dravidian-CodeMix-FIRE2020: Sentiment Analysis of Code-Mixed Dravidian text using XLNet
Social media has penetrated into multilingual societies, however most of them use English to be a preferred language for communication.
