Schedule

All times are local Bangkok (UTC/GMT +7 hour)

Time Programmed Session
09:00 - 09:10 Opening Remarks
09:10 - 10:30 Oral presentation session 1
10:30 - 11:00 Coffee Break
11:00 - 12:00 Shared Task Session
12:00 - 13:00 Lunch Break
13:00 - 14:30 In-person Poster Session
14:30 - 15:30 Invited Talk: Debora Nozza
15:30 - 16:00 Coffee break
16:00 - 16:45 Oral presentation session 2
16:50 - 17:20 Best paper presentations
17:20 - 18:00 Hybrid Poster Session + closing remarks

Opening

The workshop will be opened by our local WASSA 2024 chair:

Prof. dr. Els Lefever

She will be assisted by the other local chairs: Aaron Maladry and Pranaydeep Singh.

Oral presentation session 1

Chair: Els Lefever

  • 9:10 - 9:25 - (in-person) POLygraph: Polish Fake News Dataset Daniel Dzienisiewicz, Filip Graliński, Piotr Jabłoński, Marek Kubis, Paweł Marek Skórzewski, Piotr Wierzchon
  • 9:25 - 9:40 - (in-person )Know Thine Enemy: Adaptive Attacks on Misinformation Detection Using Reinforcement Learning Piotr Przybyła, Euan McGill, Horacio Saggion
  • 9:40 - 9:55 - (remote) Enhanced Financial Sentiment Analysis and Trading Strategy Development Using Large Language Models. Kemal Kirtac, Guido Germano
  • 9:55 - 10:10 - (in-person) Polarization of Autonomous Generative AI Agents Under Echo Chambers Masaya Ohagi
  • 10:10 - 10:25 -(remote) Subjectivity Theory vs. Speaker Intuitions: Explaining the Results of a Subjectivity Regressor Trained on Native Speaker Judgements. Elena Savinova, Jet Hoek

Shared Task

Chair: Piotr Przybyła

  • 11:00 - 11:15 -(remote)Findings of WASSA 2024 Shared Task on Empathy, Emotion and Personality Detection in Conversation and Reactions to News Articles. Salvatore Giorgi, João Sedoc, Valentin Barriere and Shabnam Tafreshi
  • 11:15 - 11:30 -(in-person)ConText at WASSA 2024 Empathy and Personality Shared Task: History-Dependent Embedding Utterance Representations for Empathy and Emotion Prediction in Conversations Patrícia Pereira, Helena Silva Moniz, Joao Paulo Carvalho
  • 11:30 - 11:45 -(in-person)Findings of WASSA 2024 Shared Task: Explainability of Cross-lingual Emotion Detection. Aaron Maladry, Pranaydeep Singh, and Els Lefever.
  • 11:45 - 12:00 -(in-person)TEII: Think, Explain, Interact and Iterate with Large Language Models to Solve Cross-lingual Emotion Detection Long Cheng, Qihao Shao, Christine Zhao, Sheng Bi, Gina-Anne Levow

In-person Poster session

Chair: Aaron Maladry

Location: big hall downstairs CCA1 (boards 133-168)

Main workshop in-person posters:

  • Entity-Level Sentiment: More than the Sum of Its Parts. Egil Rønningstad, Roman Klinger, Erik Velldal, Lilja Øvrelid
  • Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both?. Nikita Soni, Niranjan Balasubramanian, H. Schwartz, Dirk Hovy
  • Modeling Complex Interactions in Long Documents for Aspect-Based Sentiment Analysis. Zehong Yan, Wynne Hsu, Mong-Li Lee, David Roy Bartram-Shaw
  • Guiding Sentiment Analysis with Hierarchical Text Clustering: Analyzing the German X/Twitter Discourse on Face Masks in the 2020 COVID-19 Pandemic. Silvan Wehrli, Chisom Ezekannagha, Georges Hattab, Tamara Sonia Boender, Bert Arnrich, Christopher Irrgang
  • A Multi-Faceted NLP Analysis of Misinformation Spreaders in Twitter. Dimosthenis Antypas, Alun D. Preece, Jose Camacho-Collados
  • To Aggregate or Not to Aggregate. That is the Question: A Case Study on Annotation Subjectivity in Span Prediction. Kemal Kurniawan, Meladel Mistica, Timothy Baldwin, Jey Han Lau
  • A Systematic Analysis on the Temporal Generalization of Language Models in Social Media. Asahi Ushio, Jose Camacho-Collados
  • MBIAS: Mitigating Bias in Large Language Models While Retaining Context. Shaina Raza, Ananya Raval, Veronica Chatrath
  • The Model Arena for Cross-lingual Sentiment Analysis: A Comparative Study in the Era of Large Language Models. Xiliang Zhu, Shayna Gardiner, Tere Roldán, David Rossouw
  • Estimation of Happiness Changes through Longitudinal Analysis of Employees’ Texts. Junko Hayashi, Kazuhiro Ito, Masae Manabe, Yasushi Watanabe, Masataka Nakayama, Yukiko Uchida, Shoko Wakamiya, Eiji Aramaki
  • Impact of Decoding Methods on Human Alignment of Conversational LLMs. Shaz Furniturewala, Kokil Jaidka, Yashvardhan Sharma
  • LLaMA-Based Models for Aspect-Based Sentiment Analysis. Jakub Šmíd, Pavel Priban, Pavel Kral

ACL 2024 Findings paper in-person poster:

  • Detection and Positive Reconstruction of Cognitive Distortion Sentences: Mandarin Dataset and Evaluation Shuya Lin, Yuxiong Wang, Jonathan Dong, Shiguang NI

Shared tasks in-person posters:

  • UWB at WASSA-2024 Shared Task 2: Cross-lingual Emotion Detection Jakub Šmíd, Pavel Přibáň, Pavel Král
  • PCICUNAM at WASSA 2024: Cross-lingual Emotion Detection Task with Hierarchical Classification and Weighted Loss Functions Jesus Vázquez-Osorio, Gerardo Sierra, Helena Gómez-Adorno, Gemma Bel-Enguix
  • Cross-lingual Emotion Detection through Large Language Models Ram Mohan Rao Kadiyala
  • NYCU-NLP at EXALT 2024: Assembling Large Language Models for Cross-Lingual Emotion and Trigger Detection Tzu-Mi Lin, Zhe-Yu Xu, Jian-Yu Zhou, and Lung-Hao Lee
  • Effectiveness of Scalable Monolingual Data and Trigger Words Prompting on Cross-Lingual Emotion Detection Task Yao-Fei Cheng, Jeongyeob Hong, Andrew Wang, Anita Silva, Gina-Anne Levow
  • Knowledge Distillation from Monolingual to Multilingual Models for Intelligent and Interpretable Multilingual Emotion Detection Yuqi Wang, Zimu Wang, Nijia Han, Wei Wang, Qi Chen, Haiyang Zhang, Yushan Pan, Anh Nguyen
  • Chinchunmei at WASSA 2024 Empathy and Personality Shared Task: Boosting LLM’s Prediction with Role-play Augmentation and Contrastive Reasoning Calibration Tian Li, Nicolay Rusnachenko, Huizhi Liang
  • Empaths at WASSA 2024 Empathy and Personality Shared Task: Turn-Level Empathy Prediction Using Psychological Indicators Shaz Furniturewala, Kokil Jaidka
  • Daisy at WASSA 2024 Empathy and Personality Shared Task: A Quick Exploration on Emotional Pattern of Empathy and Distress Rendi Chevi, Alham Fikri Aji
  • Fraunhofer SIT at WASSA 2024 Empathy and Personality Shared Task: Use of Sentiment Transformers and Data Augmentation With Fuzzy Labels to Predict Emotional Reactions in Conversations and Essays Raphael Antonius Frick, Martin Steinebach
  • EmpatheticFIG at WASSA 2024 Empathy and Personality Shared Task: Predicting Empathy and Emotion in Conversations with Figurative Language Gyeongeun Lee, Zhu Wang, Sathya N. Ravi, Natalie Parde
  • Last-min-submission at WASSA 2024 Empathy and Personality Shared Task: Enhancing Emotional Intelligence with Prompts Svetlana Churina, Preetika Verma, Suchismita Tripathy

Invited Talk: Debora Nozza (remote)

Chair: Orphée De Clercq (remote) & Els Lefever (in-person)

Abstract

The proliferation of hate speech on social media platforms has been rising, with (pseudo-)anonymity allowing individuals to target others without being recognized or easily traced. While this societal issue has garnered significant attention in the NLP community, it presents three major challenges. Hate speech detection models need to be fair, work across all languages, and incorporate personalization while balancing privacy concerns. Addressing these challenges will revolutionize the field of hate speech detection and contribute to the development of a “universal” model that can adapt to individual user perspectives. In this talk, I will present my contributions in this area along with my perspectives on future directions.

Bio

Debora Nozza is an Assistant Professor in Computing Sciences at Bocconi University. Her research interests mainly focus on Natural Language Processing, specifically on the detection and counter-acting of hate speech and algorithmic bias on Social Media data in multilingual context.

Oral presentation session 2

Chair: Pranaydeep Singh

  • 16:00 - 16:15 - (remote)Hierarchical Adversarial Correction to Mitigate Identity Term Bias in Toxicity Detection Johannes Schäfer, Ulrich Heid, Roman Klinger
  • 16:15 - 16:30 - (in-person)Comparing Tools for Sentiment Analysis of Danish Literature from Hymns to Fairy Tales: Low-Resource Language and Domain Challenges. Pascale Feldkamp, Jan Kostkan, Ea Lindhardt Overgaard, Mia Jacobsen, Yuri Bizzoni
  • 16:30 - 16:45 - (in-person)Multi-Target User Stance Discovery on Reddit Benjamin Steel, Derek Ruths

Best paper presentations

Chair: Pranaydeep Singh

  • 16:50 - 17:05 - (remote) Best paper 1 TBA
  • 17:05 - 17:20 - (in-person) Best paper 2 (multilinguality track) TBA

Hybrid Poster session

Chair: Aaron Maladry

Location: click on “Teleport to Gather” in Underline

Main workshop virtual posters

  • Subjectivity Detection in English News using Large Language Models. Mohammad Shokri, Vivek Sharma, Elena Filatova, Shweta Jain, Sarah Ita Levitan
  • Exploring Language Models to Analyze Market Demand Sentiments from News. Tirthankar Dasgupta, Manjira Sinha
  • RideKE: Leveraging Low-resource Twitter User-generated Content for Sentiment and Emotion Detection on Code-switched RHS Dataset. Naome A Etori, Maria Gini
  • LLMs for Targeted Sentiment in News Headlines: Exploring the Descriptive-Prescriptive Dilemma. Jana Juroš, Laura Majer, Jan Snajder
  • Emotion Identification for French in Written Texts: Considering their Modes of Expression as a Step Towards Text Complexity Analysis. Aline Étienne, Delphine Battistelli, Gwénolé Lecorvé
  • SEC: Context-Aware Metric Learning for Efficient Emotion Recognition in Conversation. Barbara Gendron, Gael Guibon
  • Monitoring Depression Severity and Symptoms in User-Generated Content: An Annotation Scheme and Guidelines. Falwah Alhamed, Rebecca Bendayan, Julia Ive, Lucia Specia
  • A Study of Nationality Bias in Names and Perplexity using Off-the-Shelf Affect-related Tweet Classifiers. Valentin Barriere, Sebastian Cifuentes

Shared tasks virtual posters

  • HITSZ-HLT at WASSA-2024 Shared Task 2: Language-agnostic Multi-task Learning for Explainability of Cross-lingual Emotion Detection Feng Xiong, Jun Wang, Geng Tu, Ruifeng Xu
  • Enhancing Cross-Lingual Emotion Detection with Data Augmentation and Token-Label Mapping Jinghui Zhang, Yuan Zhao, Siqin Zhang, Ruijing Zhao, Siyu Bao
  • WU_TLAXE at WASSA 2024 Explainability for Cross-Lingual Emotion in Tweets Shared Task 1: Emotion through Translation using TwHIN-BERT and GPT Jon Davenport, Keren Ruditsky, Anna Batra, Yulha Lhawa, Gina-Anne Levow
  • RU at WASSA 2024 Shared Task: Task-Aligned Prompt for Predicting Empathy and Distress Haein Kong, Seonghyeon Moon
  • Empathify at WASSA 2024 Empathy and Personality Shared Task: Contextualizing Empathy with a BERT-Based Context-Aware Approach for Empathy Detection Arda Numanoğlu, Süleyman Ateş, Nihan Kesim Cicekli, Dilek Küçük
  • Zhenmei at WASSA-2024 Empathy and Personality Shared Track: Incorporating Pearson Correlation Coefficient as a Regularization Term for Enhanced Empathy and Emotion Prediction in Conversational Turns Liting huang, Huizhi Liang
  • NU at WASSA 2024 Empathy and Personality Shared Task: Enhancing Personality Predictions with Knowledge Graphs; A Graphical Neural Network and LightGBM Ensemble Approach Emmanuel Osei-Brefo, Huizhi Liang
  • hyy33 at WASSA 2024 Empathy and Personality Shared Task: Using the CombinedLoss and FGM for Enhancing BERT-based Models in Emotion and Empathy Prediction from Conversation Turns Huiyu Yang, liting huang, Tian Li, Nicolay Rusnachenko, Huizhi Liang