CASE in EACL 2024 proposes the shared task on Hate Speech and Stance Detection during Climate Activism. In our participation in the stance detection task, we have tested different approaches using LLMs for this classification task. We have tested a generative model using the classical seq2seq structure. Subsequently, we have considerably improved the results by replacing the last layer of these LLMs with a classifier layer. We have also studied how the performance is affected by the amount of data used in training. For this purpose, a partition of the dataset has been used and external data from posture detection tasks has been added.

HAMiSoN-Generative at ClimateActivism 2024: Stance Detection using generative large language models

CASE @ EACL 2024 proposes a shared task on Stance and Hate Event Detection for Climate Activism discourse. For our participation in the stance detection task, we propose an ensemble of different approaches: a transformer-based model (RoBERTa), a generative Large Language Model (Llama 2), and a Multi-Task Learning model. Our main goal is twofold: to study the effect of augmenting the training data with external datasets, and to examine the contribution of several, diverse models through a voting ensemble. The results show that if we take the best configuration during training for each of the three models (RoBERTa, Llama 2 and MTL), the ensemble would have ranked first with the highest F1 on the leaderboard for the stance detection subtask.

HAMiSoN-Ensemble at ClimateActivism 2024: Ensemble of RoBERTa, Llama 2, and Multi-task for Stance Detection

[**Teleport to Gather**](https://app.gather.town/app/XDzSQW1b0mpTTAYr/EACL2024?spawnToken=qPtfN1icQ3aWE7S-_yMW) Nowadays, the unprecedented quantity of easily accessible data on social, political, and economic processes offers ground-breaking potential in guiding data-driven analysis in social and human sciences and in driving informed policy-making processes. Governments, multilateral organizations, and local and global NGOs present an increasing demand for high-quality information about a wide variety of events ranging from political violence, environmental disasters, and conflict, to international economic and health crises (Coleman et al. 2014; Porta and Diani, 2015) to prevent or resolve conflicts, provide relief for those that are afflicted, or improve the lives of and protect citizens in a variety of ways. Citizen actions against the COVID measures in the period 2020-2022 and the Russia – Ukraine war are only two examples where event-centered data can contribute to better understanding of real-life situations. Finally, these efforts respond to “growing public interest in up-to-date information on crowds” as well. [**Read more**](https://emw.ku.edu.tr/case-2024/) **Program Overview** 
09:00 - 09:10 Opening Remarks 
09:10 - 10:10 Event Extraction, approaches and resources 
10:10 - 10:30 Large Language Models for Event Extraction, Part I 
10:30 - 11:00 Coffee Break 
11:00 - 12:00 Large Language Models for Event Extraction, Part II 
12:00 - 12:40 Cllimate Activism Hate and Stance Event Detection Shared Task 
12:40 - 14:00 Lunch Break 
14:00 - 14:45 Hate Speech in Turkish and Arabic Tweets (HSD-2LANG) 
14:45 - 15:30 Multimodal Hate Speech Event Detection 
15:30 - 16:00 Coffee Break 
16:00 - 17:00 Poster session 
17:00 - 17:20 Closing remarks

W11: The 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE)

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.

Jesús María Fraile Hernández

2

Presentations

HAMiSoN-Generative at ClimateActivism 2024: Stance Detection using generative large language models

HAMiSoN-Ensemble at ClimateActivism 2024: Ensemble of RoBERTa, Llama 2, and Multi-task for Stance Detection

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES