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14th WASSA 2024: Bangkok, Thailand
- Orphée De Clercq, Valentin Barrière, Jeremy Barnes, Roman Klinger, João Sedoc, Shabnam Tafreshi:
Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, WASSA 2024, Bangkok, Thailand, August 15, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-156-8 - Kemal Kirtac, Guido Germano:
Enhanced Financial Sentiment Analysis and Trading Strategy Development Using Large Language Models. 1-10 - Barbara Gendron, GaelGuibon GaelGuibon:
SEC: Context-Aware Metric Learning for Efficient Emotion Recognition in Conversation. 11-22 - Zehong Yan, Wynne Hsu, Mong-Li Lee, David Bartram-Shaw:
Modeling Complex Interactions in Long Documents for Aspect-Based Sentiment Analysis. 23-34 - Johannes Schäfer, Ulrich Heid, Roman Klinger:
Hierarchical Adversarial Correction to Mitigate Identity Term Bias in Toxicity Detection. 35-51 - Asahi Ushio, José Camacho-Collados:
A Systematic Analysis on the Temporal Generalization of Language Models in Social Media. 52-62 - Jakub Smíd, Pavel Pribán, Pavel Král:
LLaMA-Based Models for Aspect-Based Sentiment Analysis. 63-70 - Dimosthenis Antypas, Alun D. Preece, José Camacho-Collados:
A Multi-Faceted NLP Analysis of Misinformation Spreaders in Twitter. 71-83 - Egil Rønningstad, Roman Klinger, Erik Velldal, Lilja Øvrelid:
Entity-Level Sentiment: More than the Sum of Its Parts. 84-96 - Shaina Raza, Ananya Raval, Veronica Chatrath:
MBIAS: Mitigating Bias in Large Language Models While Retaining Context. 97-111 - Masaya Ohagi:
Polarization of Autonomous Generative AI Agents Under Echo Chambers. 112-124 - Piotr Przybyla
, Euan McGill, Horacio Saggion:
Know Thine Enemy: Adaptive Attacks on Misinformation Detection Using Reinforcement Learning. 125-140 - Xiliang Zhu, Shayna Gardiner, Tere Roldán, David Rossouw:
The Model Arena for Cross-lingual Sentiment Analysis: A Comparative Study in the Era of Large Language Models. 141-152 - Silvan Wehrli, Chisom Ezekannagha, Georges Hattab, Tamara Boender, Bert Arnrich, Christopher Irrgang:
Guiding Sentiment Analysis with Hierarchical Text Clustering: Analyzing the German X/Twitter Discourse on Face Masks in the 2020 COVID-19 Pandemic. 153-167 - Aline Étienne, Delphine Battistelli, Gwénolé Lecorvé:
Emotion Identification for French in Written Texts: Considering Modes of Emotion Expression as a Step Towards Text Complexity Analysis. 168-185 - Pascale Feldkamp Moreira, Jan Kostkan, Ea Overgaard, Mia Jacobsen, Yuri Bizzoni:
Comparing Tools for Sentiment Analysis of Danish Literature from Hymns to Fairy Tales: Low-Resource Language and Domain Challenges. 186-199 - Benjamin Steel, Derek Ruths:
Multi-Target User Stance Discovery on Reddit. 200-214 - Mohammad Shokri, Vivek Sharma, Elena Filatova, Shweta Jain, Sarah Ita Levitan:
Subjectivity Detection in English News using Large Language Models. 215-226 - Falwah Alhamed, Rebecca Bendayan, Julia Ive, Lucia Specia:
Monitoring Depression Severity and Symptoms in User-Generated Content: An Annotation Scheme and Guidelines. 227-233 - Naome A. Etori, Maria L. Gini:
RideKE: Leveraging Low-resource Twitter User-generated Content for Sentiment and Emotion Detection on Code-switched RHS Dataset. 234-249 - Daniel Dzienisiewicz, Filip Gralinski, Piotr Jablonski, Marek Kubis, Pawel Skórzewski, Piotr Wierzchon:
POLygraph: Polish Fake News Dataset. 250-263 - Tirthankar Dasgupta, Manjira Sinha:
Exploring Language Models to Analyze Market Demand Sentiments from News. 264-272 - Shaz Furniturewala, Kokil Jaidka, Yashvardhan Sharma:
Impact of Decoding Methods on Human Alignment of Conversational LLMs. 273-279 - Naoya Fujikawa, Nguyen Toan, Kazuhiro Ito, Shoko Wakamiya, Eiji Aramaki:
Loneliness Episodes: A Japanese Dataset for Loneliness Detection and Analysis. 280-293 - Junko Hayashi, Kazuhiro Ito, Masae Manabe, Yasushi Watanabe, Masataka Nakayama, Yukiko Uchida, Shoko Wakamiya, Eiji Aramaki:
Estimation of Happiness Changes through Longitudinal Analysis of Employees' Texts. 294-304 - Elena Savinova, Jet Hoek:
Subjectivity Theory vs. Speaker Intuitions: Explaining the Results of a Subjectivity Regressor Trained on Native Speaker Judgements. 305-315 - Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz, Dirk Hovy:
Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both? 316-328 - Jana Juros, Laura Majer, Jan Snajder:
LLMs for Targeted Sentiment in News Headlines: Exploring the Descriptive-Prescriptive Dilemma. 329-343 - Neha Sharma, Kairit Sirts:
Context is Important in Depressive Language: A Study of the Interaction Between the Sentiments and Linguistic Markers in Reddit Discussions. 344-361 - Kemal Kurniawan
To Aggregate or Not to Aggregate. That is the Question: A Case Study on Annotation Subjectivity in Span Prediction. 362-368 - Salvatore Giorgi, João Sedoc, Valentin Barrière, Shabnam Tafreshi:
Findings of WASSA 2024 Shared Task on Empathy and Personality Detection in Interactions. 369-379 - Haein Kong, Seonghyeon Moon:
RU at WASSA 2024 Shared Task: Task-Aligned Prompt for Predicting Empathy and Distress. 380-384 - Tian Li, Nicolay Rusnachenko, Huizhi Liang:
Chinchunmei at WASSA 2024 Empathy and Personality Shared Task: Boosting LLM's Prediction with Role-play Augmentation and Contrastive Reasoning Calibration. 385-392 - Arda Numanoglu, Süleyman Ates, Nihan Kesim Cicekli, Dilek Küçük:
Empathify at WASSA 2024 Empathy and Personality Shared Task: Contextualizing Empathy with a BERT-Based Context-Aware Approach for Empathy Detection. 393-398 - Liting Huang, Huizhi Liang:
Zhenmei at WASSA-2024 Empathy and Personality Shared Track 2 Incorporating Pearson Correlation Coefficient as a Regularization Term for Enhanced Empathy and Emotion Prediction in Conversational Turns. 399-403 - Shaz Furniturewala, Kokil Jaidka:
Empaths at WASSA 2024 Empathy and Personality Shared Task: Turn-Level Empathy Prediction Using Psychological Indicators. 404-411 - Emmanuel Osei-Brefo, 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. 412-419 - Rendi Chevi, Alham Fikri Aji:
Daisy at WASSA 2024 Empathy and Personality Shared Task: A Quick Exploration on Emotional Pattern of Empathy and Distress. 420-424 - Svetlana Churina, Preetika Verma, Suchismita Tripathy:
WASSA 2024 Shared Task: Enhancing Emotional Intelligence with Prompts. 425-429 - Huiyu Yang, Liting Huang, Tian Li, Nicolay Rusnachenko, 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. 430-434 - Raphael Antonius Frick, Martin Steinebach:
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. 435-440 - Gyeongeun Lee, Zhu Wang, Sathya N. Ravi, Natalie Parde:
EmpatheticFIG at WASSA 2024 Empathy and Personality Shared Task: Predicting Empathy and Emotion in Conversations with Figurative Language. 441-447 - Patrícia Pereira, Helena Moniz, João Paulo Carvalho:
ConText at WASSA 2024 Empathy and Personality Shared Task: History-Dependent Embedding Utterance Representations for Empathy and Emotion Prediction in Conversations. 448-453 - Aaron Maladry, Pranaydeep Singh, Els Lefever:
Findings of the WASSA 2024 EXALT shared task on Explainability for Cross-Lingual Emotion in Tweets. 454-463 - Ram Mohan Rao Kadiyala:
Cross-lingual Emotion Detection through Large Language Models. 464-469 - Yuqi Wang, Zimu Wang, Nijia Han, Wei Wang, Qi Chen, Haiyang Zhang, Yushan Pan, Anh Nguyen:
Knowledge Distillation from Monolingual to Multilingual Models for Intelligent and Interpretable Multilingual Emotion Detection. 470-475 - Feng Xiong, Jun Wang, Geng Tu, Ruifeng Xu:
HITSZ-HLT at WASSA-2024 Shared Task 2: Language-agnostic Multi-task Learning for Explainability of Cross-lingual Emotion Detection. 476-482 - Jakub Smíd, Pavel Pribán, Pavel Král:
UWB at WASSA-2024 Shared Task 2: Cross-lingual Emotion Detection. 483-489 - Jesús Vázquez-Osorio, Gerardo Sierra, Helena Gómez-Adorno, Gemma Bel-Enguix:
PCICUNAM at WASSA 2024: Cross-lingual Emotion Detection Task with Hierarchical Classification and Weighted Loss Functions. 490-494 - Long Cheng, Qihao Shao, Christine Zhao, Sheng Bi, Gina-Anne Levow:
TEII: Think, Explain, Interact and Iterate with Large Language Models to Solve Cross-lingual Emotion Detection. 495-504 - Tzu-Mi Lin, Zhe-Yu Xu, Jian-Yu Zhou, Lung-Hao Lee:
NYCU-NLP at EXALT 2024: Assembling Large Language Models for Cross-Lingual Emotion and Trigger Detection. 505-510 - Yao-Fei Cheng, Jeongyeob Hong, Andrew Wang, Anita Silva, Gina-Anne Levow:
Effectiveness of Scalable Monolingual Data and Trigger Words Prompting on Cross-Lingual Emotion Detection Task. 511-522 - Jon Davenport, Keren Ruditsky, Anna Batra, Yulha Lhawa, Gina-Anne Levow:
WU_TLAXE at WASSA 2024 Explainability for Cross-Lingual Emotion in Tweets Shared Task 1: Emotion through Translation using TwHIN-BERT and GPT. 523-527 - Jinghui Zhang, Yuan Zhao, Siqin Zhang, Ruijing Zhao, Siyu Bao:
Enhancing Cross-Lingual Emotion Detection with Data Augmentation and Token-Label Mapping. 528-533
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