📰 Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2021: all accepted papers

30 papers · the most cited first · ← Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2021

1. An End-to-End Network for Emotion-Cause Pair Extraction ↗Aaditya Singh, Shreeshail Hingane, Saim Wani et al.
2. Analyzing Curriculum Learning for Sentiment Analysis along Task Difficulty, Pacing and Visualization Axes ↗Anvesh Rao Vijjini, Kaveri Anuranjana, Radhika Mamidi
3. Creating and Evaluating Resources for Sentiment Analysis in the Low-resource Language: Sindhi ↗Wazir Ali, Naveed Ali, Yong Dai et al.
4. Disentangling Document Topic and Author Gender in Multiple Languages: Lessons for Adversarial Debiasing ↗Erenay Dayanik, Sebastian Padó
5. Emotion Ratings: How Intensity, Annotation Confidence and Agreements are Entangled ↗Enrica Troiano, Sebastian Padó, Roman Klinger
6. Emotion-Aware, Emotion-Agnostic, or Automatic: Corpus Creation Strategies to Obtain Cognitive Event Appraisal Annotations ↗Jan Hofmann, Enrica Troiano, Roman Klinger
7. Emotional RobBERT and Insensitive BERTje: Combining Transformers and Affect Lexica for Dutch Emotion Detection ↗Luna De Bruyne, Orphee De Clercq, Veronique Hoste
8. EmpNa at WASSA 2021: A Lightweight Model for the Prediction of Empathy, Distress and Emotions from Reactions to News Stories ↗Giuseppe Vettigli, Antonio Sorgente
9. Explainable Detection of Sarcasm in Social MediaRamya Akula, Ivan Garibayour summary
10. Exploring Implicit Sentiment Evoked by Fine-grained News Events ↗Cynthia Van Hee, Orphee De Clercq, Veronique Hoste
11. Exploring Stylometric and Emotion-Based Features for Multilingual Cross-Domain Hate Speech Detection ↗Ilia Markov, Nikola Ljubešić, Darja Fišer et al.
12. FEEL-IT: Emotion and Sentiment Classification for the Italian Language ↗Federico Bianchi, Debora Nozza, Dirk Hovy
13. Hate Towards the Political Opponent: A Twitter Corpus Study of the 2020 US Elections on the Basis of Offensive Speech and Stance DetectionLara Grimminger, Roman Klingerour summary
14. L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Dataset ↗Atharva Kulkarni, Meet Mandhane, Manali Likhitkar et al.
15. Language that Captivates the Audience: Predicting Affective Ratings of TED Talks in a Multi-Label Classification Task ↗Elma Kerz, Yu Qiao, Daniel Wiechmann
16. Lightweight Models for Multimodal Sequential Data ↗Soumya Sourav, Jessica Ouyang
17. Me, myself, and ire: Effects of automatic transcription quality on emotion, sarcasm, and personality detectionJohn Culnan, Seongjin Park, Meghavarshini Krishnaswamy et al.our summary
18. MilaNLP @ WASSA: Does BERT Feel Sad When You Cry? ↗Tommaso Fornaciari, Federico Bianchi, Debora Nozza et al.
19. Multi-Emotion Classification for Song Lyrics ↗Darren Edmonds, João Sedoc
20. Nearest neighbour approaches for Emotion Detection in Tweets ↗Olha Kaminska, Chris Cornelis, Veronique Hoste
21. ONE: Toward ONE model, ONE algorithm, ONE corpus dedicated to sentiment analysis of Arabic/Arabizi and its dialects ↗Imane Guellil, Faical Azouaou, Fodil Benali et al.
22. PVG at WASSA 2021: A Multi-Input, Multi-Task, Transformer-Based Architecture for Empathy and Distress Prediction ↗Atharva Kulkarni, Sunanda Somwase, Shivam Rajput et al.
23. Partisanship and Fear are Associated with Resistance to COVID-19 Directives ↗Mike Lindow, David DeFranza, Arul Mishra et al.
24. Synthetic Examples Improve Cross-Target Generalization: A Study on Stance Detection on a Twitter corpus.Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar et al.our summary
25. Team Phoenix at WASSA 2021: Emotion Analysis on News Stories with Pre-Trained Language Models ↗Yash Butala, Kanishk Singh, Adarsh Kumar et al.
26. Towards Emotion Recognition in Hindi-English Code-Mixed Data: A Transformer Based Approach ↗Anshul Wadhawan, Akshita Aggarwal
27. ToxCCIn: Toxic Content Classification with Interpretability ↗Tong Xiang, Sean MacAvaney, Eugene Yang et al.
28. Universal Joy A Data Set and Results for Classifying Emotions Across Languages ↗Sotiris Lamprinidis, Federico Bianchi, Daniel Hardt et al.
29. WASSA 2021 Shared Task: Predicting Empathy and Emotion in Reaction to News Stories ↗Shabnam Tafreshi, Orphee De Clercq, Valentin Barriere et al.
30. WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction ↗Jay Mundra, Rohan Gupta, Sagnik Mukherjee

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