This paper describes the systems built by our team for the “Emotion Analysis in Tamil” shared task at the Second Workshop on Speech and Language Technologies for Dravidian Languages at ACL 2022. There were two multi-class classification sub-tasks as a part of this shared task. The dataset for sub-task A contained 11 types of emotions while sub-task B was more fine-grained with 31 emotions. We fine-tuned an XLM-RoBERTa and DeBERTA base model for each sub-task. For sub-task A, the XLM-RoBERTa model achieved an accuracy of 0.46 and the DeBERTa model achieved an accuracy of 0.45. We had the best classification performance out of 11 teams for sub-task A. For sub-task B, the XLM-RoBERTa model's accuracy was 0.33 and the DeBERTa model had an accuracy of 0.26. We ranked 2nd out of 7 teams for sub-task B.

Emotion Analysis and Classification in Tamil using Transformers

This paper presents transformer-based models for the "Abusive Comment Detection" shared task at the Second Workshop on Speech and Language Technologies for Dravidian Languages at ACL 2022. Our team participated in both the multi-class classification sub-tasks as a part of this shared task. The dataset for sub-task A was in Tamil text; while B was code-mixed Tamil-English text. Both the datasets contained 8 classes of abusive comments. We trained an XLM-RoBERTa and DeBERTA base model on the training splits for each sub-task. For sub-task A, the XLM-RoBERTa model achieved an accuracy of 0.66 and the DeBERTa model achieved an accuracy of 0.62. For sub-task B, both the models achieved a classification accuracy of 0.72; however, the DeBERTa model performed better in other classification metrics. Our team ranked 2nd in the code-mixed classification sub-task and 8th in Tamil-text sub-task.

Using Transformers for Abusive Comment Classification in Tamil

**Organizers:** Bharathi Raja Chakravarthi, Ruba Priyadharshini, Anand Kumar M, Parameswari
Krishnamurthy, Elizabeth Sherly, Sinnathamby Mahesan
 **Description:** The development of technology increases our internet use, and most of the global languages have adapted themselves
to the digital era. However, there are many regional, under-resourced languages that face challenges as they still lack
developments in language technology [1]. One such language family is the Dravidian family of languages. Dravidian
languages are primarily spoken in south India and Sri Lanka. Pockets of speakers are found in Nepal, Pakistan, Malaysia,
other parts of India and elsewhere in the world. The Dravidian languages, which are 4,500 years old [2] and spoken by
millions of speakers, are under-resourced in speech and natural language processing [1]. The Dravidian languages are
divided into four groups: South, South-Central, Central, and North groups. Dravidian morphology is agglutinating and
exclusively suffixal. Syntactically, Dravidian languages are head-final and left-branching. They are free-constituent order
languages. To improve access to and production of information for monolingual speakers of Dravidian languages, it is
necessary to have speech and languages technologies. The aim of these workshops is to save the Dravidian languages
from extinction in technology. This is the first workshop on speech and language technologies for Dravidian languages.
 
**Please visit our [website](https://dravidianlangtech.github.io/2022/)**

(Dravidian LangTech) The Second Workshop on Speech and Language Technologies for DravidianLanguages

workshop paper

# Welcome everyone to ACL 2022!

The 60th Annual Meeting of the Association for Computational Linguistics is taking place May 22-27, 2022 as a hybrid event, in Dublin and online. We are happy to welcome all of you to this anniversary edition with an almost 50-50 in-person and virtual participation. 
The main conference program features oral presentations, in-person and virtual posters and demo sessions, a plenary session for our best paper presentations and awards, three amazing keynote events and two new initiatives of invited talks: Spotlight Talks for Young Rising Stars (STIRS) and The Next Big Idea Talks. Posters (including Findings of ACL 2022) and demos are grouped by areas for both the in-person and the virtual sessions. For the virtual component, the talks will be on Zoom and the posters and the demos will be in GatherTown. The Student Research Workshop will have an oral session and a poster session as part of Poster Session 1. The program also features eight Tutorials and 28 Workshops. 

 
We wish you a wonderful conference! 
[**The ACL 2022 Organizing Committee**](https://www.2022.aclweb.org/organisers)
 
[**Conference Handbook**](https://drive.google.com/file/d/1_BUCMfhMVrjG9E2e71aHdHeE28KSje0l/view?usp=sharing) 
[**Mini Handbook**](https://drive.google.com/file/d/1qlBKl0wzmlVF1oCeMQl3BahLd9nLP5Ce/view?usp=sharing) 
[**Posters and Demo guides**](https://drive.google.com/file/d/1UucMAoCNncIOaH1rMMDa0owuG9qgvJTG/view?usp=sharing)

ACL 2022

The Association for Computational Linguistics (ACL) is the premier international scientific and professional society for people working on computational problems involving human language, a field often referred to as either computational linguistics or natural language processing (NLP). 

Janvi Prasad

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Emotion Analysis and Classification in Tamil using Transformers

Using Transformers for Abusive Comment Classification in Tamil

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