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ORCID11th WASSA@EACL 2021: Online
- Orphée De Clercq, Alexandra Balahur, João Sedoc, Valentin Barrière, Shabnam Tafreshi, Sven Buechel, Véronique Hoste:
Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA@EACL 2021, Online, April 19, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-18-3 - Tong Xiang, Sean MacAvaney, Eugene Yang
, Nazli Goharian:
ToxCCIn: Toxic Content Classification with Interpretability. 1-12 - Elma Kerz, Yu Qiao, Daniel Wiechmann:
Language that Captivates the Audience: Predicting Affective Ratings of TED Talks in a Multi-Label Classification Task. 13-24 - Mike Lindow, David DeFranza, Arul Mishra, Himanshu Mishra:
Partisanship and Fear are Associated with Resistance to COVID-19 Directives. 25-33 - Ramya Akula, Ivan Garibay:
Explainable Detection of Sarcasm in Social Media. 34-39 - Enrica Troiano, Sebastian Padó, Roman Klinger:
Emotion Ratings: How Intensity, Annotation Confidence and Agreements are Entangled. 40-49 - Erenay Dayanik, Sebastian Padó:
Disentangling Document Topic and Author Gender in Multiple Languages: Lessons for Adversarial Debiasing. 50-61 - Sotiris Lamprinidis, Federico Bianchi, Daniel Hardt, Dirk Hovy:
Universal Joy A Data Set and Results for Classifying Emotions Across Languages. 62-75 - Federico Bianchi, Debora Nozza, Dirk Hovy:
FEEL-IT: Emotion and Sentiment Classification for the Italian Language. 76-83 - Aaditya Singh, Shreeshail Hingane, Saim Wani, Ashutosh Modi:
An End-to-End Network for Emotion-Cause Pair Extraction. 84-91 - Shabnam Tafreshi, Orphée De Clercq, Valentin Barrière, Sven Buechel, João Sedoc, Alexandra Balahur:
WASSA 2021 Shared Task: Predicting Empathy and Emotion in Reaction to News Stories. 92-104 - Atharva Kulkarni, Sunanda Somwase, Shivam Rajput, Manisha Marathe:
PVG at WASSA 2021: A Multi-Input, Multi-Task, Transformer-Based Architecture for Empathy and Distress Prediction. 105-111 - Jay Mundra, Rohan Gupta, Sagnik Mukherjee:
WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction. 112-116 - Anvesh Rao Vijjini, Kaveri Anuranjana, Radhika Mamidi:
Analyzing Curriculum Learning for Sentiment Analysis along Task Difficulty, Pacing and Visualization Axes. 117-128 - Soumya Sourav, Jessica Ouyang:
Lightweight Models for Multimodal Sequential Data. 129-137 - Cynthia Van Hee, Orphée De Clercq, Véronique Hoste:
Exploring Implicit Sentiment Evoked by Fine-grained News Events. 138-148 - Ilia Markov, Nikola Ljubesic, Darja Fiser, Walter Daelemans:
Exploring Stylometric and Emotion-Based Features for Multilingual Cross-Domain Hate Speech Detection. 149-159 - Jan Hofmann, Enrica Troiano, Roman Klinger:
Emotion-Aware, Emotion-Agnostic, or Automatic: Corpus Creation Strategies to Obtain Cognitive Event Appraisal Annotations. 160-170 - Lara Grimminger, Roman Klinger:
Hate Towards the Political Opponent: A Twitter Corpus Study of the 2020 US Elections on the Basis of Offensive Speech and Stance Detection. 171-180 - Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, Chryssi Giannitsarou, Flavio Toxvaerd, Nigel Collier:
Synthetic Examples Improve Cross-Target Generalization: A Study on Stance Detection on a Twitter corpus. 181-187 - Wazir Ali, Naveed Ali, Yong Dai, Jay Kumar, Saifullah Tumrani, Zenglin Xu:
Creating and Evaluating Resources for Sentiment Analysis in the Low-resource Language: Sindhi. 188-194 - Anshul Wadhawan, Akshita Aggarwal:
Towards Emotion Recognition in Hindi-English Code-Mixed Data: A Transformer Based Approach. 195-202 - Olha Kaminska, Chris Cornelis, Véronique Hoste:
Nearest neighbour approaches for Emotion Detection in Tweets. 203-212 - Atharva Kulkarni, Meet Mandhane, Manali Likhitkar, Gayatri Kshirsagar, Raviraj Joshi:
L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Dataset. 213-220 - Darren Edmonds, João Sedoc:
Multi-Emotion Classification for Song Lyrics. 221-235 - Imane Guellil, Faiçal Azouaou, Fodil Benali, Ala-Eddine Hachani:
ONE: Toward ONE model, ONE algorithm, ONE corpus dedicated to sentiment analysis of Arabic/Arabizi and its dialects. 236-249 - John Culnan, Seongjin Park, Meghavarshini Krishnaswamy, Rebecca Sharp:
Me, myself, and ire: Effects of automatic transcription quality on emotion, sarcasm, and personality detection. 250-256 - Luna De Bruyne, Orphée De Clercq, Véronique Hoste:
Emotional RobBERT and Insensitive BERTje: Combining Transformers and Affect Lexica for Dutch Emotion Detection. 257-263 - Giuseppe Vettigli, Antonio Sorgente:
EmpNa at WASSA 2021: A Lightweight Model for the Prediction of Empathy, Distress and Emotions from Reactions to News Stories. 264-268 - Tommaso Fornaciari, Federico Bianchi, Debora Nozza, Dirk Hovy:
MilaNLP @ WASSA: Does BERT Feel Sad When You Cry? 269-273 - Yash Butala, Kanishk Singh, Adarsh Kumar, Shrey Shrivastava:
Team Phoenix at WASSA 2021: Emotion Analysis on News Stories with Pre-Trained Language Models. 274-280
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last updated on 2024-11-06 20:17 CET by the dblp team
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