Stress detection from social media texts has proved to play an important role in mental health assessments. People tend to express their stress on social media more easily. Analysing and classifying these texts allows for improvements in development of recommender systems and automated mental health assessments. In this paper, a GPT model is used for classification of social media texts into two classes - stressed and not-stressed. The texts used for classification are in two Dravidian languages - Tamil and Telugu. The results, although not very good shows a promising direction of research to use GPT models for classification.

JudithJeyafreeda_StressIdent_LT-EDI@EACL2024: GPT for stress identification

Using technology for analysis of human emotion is a relatively nascent research area. There are several types of data where emotion recognition can be employed, such as - text, images, audio and video. In this paper, the focus is on emotion recognition in text data. Emotion recognition in text can be performed from both written comments and from conversations. In this paper, the dataset used for emotion recognition is a list of comments. While extensive research is being performed in this area, the language of the text plays a very important role. In this work, the focus is on the Dravidian language of Tamil. The language and its script demands an extensive pre-processing. The paper contributes to this by adapting various pre-processing methods to the Dravidian Language of Tamil. A CNN method has been adopted for the task at hand. The proposed method has achieved a comparable result.

CNN for Emotion Analysis in Tamil

[**Teleport to Gather**](https://app.gather.town/app/XDzSQW1b0mpTTAYr/EACL2024?spawnToken=QvCZ0RrQRM6hvHqVsTqW) Equality, Diversity and Inclusion (EDI) is an important agenda across every field throughout the world. Language as a major part of communication should be inclusive and treat everyone with equality. Today’s large internet community uses language technology (LT) and has a direct impact on people across the globe. EDI is crucial to ensure everyone is valued and included, so it is necessary to build LT that serves this purpose. Recent results have shown that big data and deep learning are entrenching existing biases and that some algorithms are even naturally biased due to problems such as ‘regression to the mode’. Our focus is on creating LT that will be more inclusive of gender, racial, sexual orientation, persons with disability. The workshop will focus on creating speech and language technology to address EDI not only in English, but also in less resourced languages. [**Read more**](https://sites.google.com/view/lt-edi-2024) [**Invited Speaker**](https://sites.google.com/view/lt-edi-2024/home) **Program Overview** 
09:00 - 09:15 Opening Remarks 
09:15 - 09:45 Keynote - Chair: Bharathi Raja Chakravarthi, University of Galway, Ireland 
09:45 - 11:00 Paper Session 1 - Chair: Bharathi Raja Chakravarthi, University of Galway, Ireland 
11:00 - 11:30 Cofee Break 
11:30 - 12:30 Poster Session 1 - Chair: B. Bharathi, SSN College of Engineering, India 
12:30 - 13:30 Lunch Break 
13:30 - 15:45 Paper Session 2 - Chair: Miguel Angel Garcia Cumbreras, University of Jaén, Spain 
15:45 - 16:15 Coffee Break 
16:15 - 17:15 Poster Session 2 - Chair: Gyorgy Kovacs,Lulea University of Technology (LTU), Sweden 
17:15 - 17:45 Plenary and Closing Remarks [**Detailed Program**](https://sites.google.com/view/lt-edi-2024/schedule)

W3: Fourth Workshop on Language Technology for Equality, Diversity and Inclusion (LTEDI)

workshop paper

Welcome to the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL). Continuing its mission of expanding and involving the science community of all European countries, EACL has selected the Malta community for the 18th EACL. Considering the importance of physical interaction among researchers, the conference will be held at the Hotel Radisson Blu, St. Julians, in Malta, from 17 to 22 of March, 2024. The conference will also feature the possibility to participate virtually. As the flagship European conference in the field of computational linguistics, EACL welcomes European and international researchers covering a broad spectrum of research areas that are concerned with computational approaches to natural language. 
#### [Conference Handbook](https://drive.google.com/file/d/13Wn38q0yev6U3RTgnf4Tn5T9GuAuZ-xW/view?usp=sharing) *downloadable*

To access the EACL 2024 event page you need to register [**here**](https://acl.swoogo.com/EACL2024). 

Please register!

EACL 2024

As the flagship European conference in the field of computational linguistics, EACL welcomes European and international researchers covering a broad spectrum of research areas that are concerned with computational approaches to natural language.

**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

# 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). 

Judith Jeyafreeda Andrew

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JudithJeyafreeda_StressIdent_LT-EDI@EACL2024: GPT for stress identification

CNN for Emotion Analysis in Tamil

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