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

Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2021 is the 2021 edition of the Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, held in Online, April 2021 (publisher: Association for Computational Linguistics). The ACL Anthology lists 30 papers of it; our library holds 4 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

All accepted papers (30)

The most cited first; 4 with our summary link to their page here, the others to the original.

1. An End-to-End Network for Emotion-Cause Pair ExtractionAaditya Singh, Shreeshail Hingane, Saim Wani et al.
2. Analyzing Curriculum Learning for Sentiment Analysis along Task Difficulty, Pacing and Visualization AxesAnvesh Rao Vijjini, Kaveri Anuranjana, Radhika Mamidi
3. Creating and Evaluating Resources for Sentiment Analysis in the Low-resource Language: SindhiWazir Ali, Naveed Ali, Yong Dai et al.
4. Disentangling Document Topic and Author Gender in Multiple Languages: Lessons for Adversarial DebiasingErenay Dayanik, Sebastian Padó
5. Emotion Ratings: How Intensity, Annotation Confidence and Agreements are EntangledEnrica Troiano, Sebastian Padó, Roman Klinger
6. Emotion-Aware, Emotion-Agnostic, or Automatic: Corpus Creation Strategies to Obtain Cognitive Event Appraisal AnnotationsJan Hofmann, Enrica Troiano, Roman Klinger
7. Emotional RobBERT and Insensitive BERTje: Combining Transformers and Affect Lexica for Dutch Emotion DetectionLuna 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 StoriesGiuseppe Vettigli, Antonio Sorgente
9. Explainable Detection of Sarcasm in Social MediaRamya Akula, Ivan Garibayour summary
10. Exploring Implicit Sentiment Evoked by Fine-grained News EventsCynthia Van Hee, Orphee De Clercq, Veronique Hoste
11. Exploring Stylometric and Emotion-Based Features for Multilingual Cross-Domain Hate Speech DetectionIlia Markov, Nikola Ljubešić, Darja Fišer et al.
12. FEEL-IT: Emotion and Sentiment Classification for the Italian LanguageFederico 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 DatasetAtharva Kulkarni, Meet Mandhane, Manali Likhitkar et al.
15. Language that Captivates the Audience: Predicting Affective Ratings of TED Talks in a Multi-Label Classification TaskElma Kerz, Yu Qiao, Daniel Wiechmann
16. Lightweight Models for Multimodal Sequential DataSoumya 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 LyricsDarren Edmonds, João Sedoc
20. Nearest neighbour approaches for Emotion Detection in TweetsOlha Kaminska, Chris Cornelis, Veronique Hoste
21. ONE: Toward ONE model, ONE algorithm, ONE corpus dedicated to sentiment analysis of Arabic/Arabizi and its dialectsImane Guellil, Faical Azouaou, Fodil Benali et al.
22. PVG at WASSA 2021: A Multi-Input, Multi-Task, Transformer-Based Architecture for Empathy and Distress PredictionAtharva Kulkarni, Sunanda Somwase, Shivam Rajput et al.
23. Partisanship and Fear are Associated with Resistance to COVID-19 DirectivesMike 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 ModelsYash Butala, Kanishk Singh, Adarsh Kumar et al.

See all 30 papers in Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2021 — accepted papers →

📄 Papers with our summary in our library (4)

The most cited first (OpenAlex citations plus our library's).

1. Hate Towards the Political Opponent: A Twitter Corpus Study of the 2020 US Elections on the Basis of Offensive Speech and Stance DetectionWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisLara Grimminger, Roman Klinger2021 · 73 citations
2. Synthetic Examples Improve Cross-Target Generalization: A Study on Stance Detection on a Twitter corpus.Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisCostanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, et al.2021 · 12 citations
3. Explainable Detection of Sarcasm in Social MediaWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisRamya Akula, Ivan Garibay2021 · 4 citations
4. Me, myself, and ire: Effects of automatic transcription quality on emotion, sarcasm, and personality detectionWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisJohn Culnan, Seongjin Park, Meghavarshini Krishnaswamy, et al.2021 · 4 citations

🧭 Top topics

Topics of its works in our library, with the number of works on each.

😊Sentiment & emotion (4)English (2)🎙️Speech & spoken language (1)🖼️Vision & language (1)

📚 Fields

🖥️Computer Science (4)🎭Arts and Humanities (3)💭Psychology (1)🤝Social Sciences (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓University of StuttgartStuttgart · Germany1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/wassa/2021/