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Found 31 papers, 14 papers with code
Hypers at ComMA@ICON: Modelling Aggressive, Gender Bias and Communal Bias Identification
Due to the exponential increasing reach of social media, it is essential to focus on its negative aspects as it can potentially divide society and incite people into violence.
IIITT at CASE 2021 Task 1: Leveraging Pretrained Language Models for Multilingual Protest Detection
In a world abounding in constant protests resulting from events like a global pandemic, climate change, religious or political conflicts, there has always been a need to detect events/protests before getting amplified by news media or social media.
Findings of the VarDial Evaluation Campaign 2021
This paper describes the results of the shared tasks organized as part of the VarDial Evaluation Campaign 2021.
Overview of Abusive Comment Detection in Tamil-ACL 2022
The social media is one of the significantdigital platforms that create a huge im-pact in peoples of all levels.
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 Multi-task Learning in Dravidian Languages
It is one of the first shared tasks that focuses on Multi-task Learning for closely related tasks, especially for a very low-resourced language family such as the Dravidian language family.
Findings of the Shared Task on Machine Translation in Dravidian languages
This paper describes the datasets used, the methodology used for the evaluation of participants, and the experiments’ overall results.
Findings of the Shared Task on Offensive Language Identification in Tamil, Malayalam, and Kannada
Detecting offensive language in social media in local languages is critical for moderating user-generated content.
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.
KanCMD: Kannada CodeMixed Dataset for Sentiment Analysis and Offensive Language Detection
We introduce Kannada CodeMixed Dataset (KanCMD), a multi-task learning dataset for sentiment analysis and offensive language identification.
Overview of the Shared Task on Machine Translation in Dravidian Languages
This paper presents an outline of the shared task on translation of under-resourced Dravidian languages at DravidianLangTech-2022 workshop to be held jointly with ACL 2022.
Thirumurai: A Large Dataset of Tamil Shaivite Poems and Classification of Tamil Pann
Thirumurai, also known as Panniru Thirumurai, is a collection of Tamil Shaivite poems dating back to the Hindu revival period between the 6th and the 10th century.
The Best of both Worlds: Dual Channel Language modeling for Hope Speech Detection in low-resourced Kannada
In recent years, various methods have been developed to control the spread of negativity by removing profane, aggressive, and offensive comments from social media platforms.
Overview of The Shared Task on Homophobia and Transphobia Detection in Social Media Comments
This shared taskfocused on three sub-tasks for Tamil, English, and Tamil-English (code-mixed) languages.
Overview of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion
Hope Speech detection is the task of classifying a sentence as hope speech or non-hope speech given a corpus of sentences.
TamilEmo: Finegrained Emotion Detection Dataset for Tamil
Our MURIL-base model has achieved a 0. 60 macro average F1-score across our 3-class group dataset.
Hypers at ComMA@ICON: Modelling Aggressiveness, Gender Bias and Communal Bias Identification
Due to the exponentially increasing reach of social media, it is essential to focus on its negative aspects as it can potentially divide society and incite people into violence.
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.
Dataset for Identification of Homophobia and Transophobia in Multilingual YouTube Comments
We provide a new hierarchical taxonomy for online homophobia and transphobia, as well as an expert-labelled dataset that will allow homophobic/transphobic content to be automatically identified.
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.
Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021
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.
Hope Speech detection in under-resourced Kannada language
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
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.
DravidianCodeMix: Sentiment Analysis and Offensive Language Identification Dataset for Dravidian Languages in Code-Mixed Text
This paper describes the development of a multilingual, manually annotated dataset for three under-resourced Dravidian languages generated from social media comments.
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.
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@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.
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.
Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Text
One such application is to analyse the popular sentiments of videos on social media based on viewer comments.
