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ORCID12th WASSA@ACL 2022: Dublin, Ireland
- Jeremy Barnes, Orphée De Clercq, Valentin Barrière, Shabnam Tafreshi, Sawsan Alqahtani, João Sedoc, Roman Klinger, Alexandra Balahur:
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, WASSA@ACL 2022, Dublin, Ireland, May 26, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-52-0 - Anna Khlyzova, Carina Silberer, Roman Klinger
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On the Complementarity of Images and Text for the Expression of Emotions in Social Media. 1-15 - Hao Lin, Pradeep Nalluri, Lantian Li, Yifan Sun, Yongjun Zhang:
Multiplex Anti-Asian Sentiment before and during the Pandemic: Introducing New Datasets from Twitter Mining. 16-24 - Zixuan Ke, Mohammad Kachuee, Sungjin Lee:
Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data. 25-36 - Valentino Sabbatino, Enrica Troiano, Antje Schweitzer, Roman Klinger:
"splink" is happy and "phrouth" is scary: Emotion Intensity Analysis for Nonsense Words. 37-50 - Ellen De Geyndt, Orphée De Clercq, Cynthia Van Hee, Els Lefever, Pranaydeep Singh, Olivier Parent, Véronique Hoste:
SentEMO: A Multilingual Adaptive Platform for Aspect-based Sentiment and Emotion Analysis. 51-61 - Seyed Mahed Mousavi, Gabriel Roccabruna, Aniruddha Tammewar, Steve Azzolin, Giuseppe Riccardi:
Can Emotion Carriers Explain Automatic Sentiment Prediction? A Study on Personal Narratives. 62-70 - Zihao He, Negar Mokhberian, Kristina Lerman:
Infusing Knowledge from Wikipedia to Enhance Stance Detection. 71-77 - Kourosh Meshgi, Maryam Sadat Mirzaei, Satoshi Sekine:
Uncertainty Regularized Multi-Task Learning. 78-88 - Matthew Matero, Albert Hung, H. Andrew Schwartz:
Understanding BERT's Mood: The Role of Contextual-Embeddings as User-Representations for Depression Assessment. 89-94 - Patrick John Ramos, Kiki Ferawati, Kongmeng Liew, Eiji Aramaki, Shoko Wakamiya:
Emotion Analysis of Writers and Readers of Japanese Tweets on Vaccinations. 95-103 - Ayal Klein, Oren Pereg, Daniel Korat, Vasudev Lal, Moshe Wasserblat, Ido Dagan:
Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction. 104-112 - Ying Hao Lim, Jasy Suet Yan Liew:
English-Malay Word Embeddings Alignment for Cross-lingual Emotion Classification with Hierarchical Attention Network. 113-124 - Krzysztof Rajda, Lukasz Augustyniak, Piotr Gramacki, Marcin Gruza, Szymon Wozniak, Tomasz Kajdanowicz:
Assessment of Massively Multilingual Sentiment Classifiers. 125-140 - Chiyu Zhang, Muhammad Abdul-Mageed:
Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-Tuning. 141-156 - Joshua Minot, Milo Trujillo, Samuel F. Rosenblatt, Guillermo de Anda-Jáuregui, Emily Moog, Allison M. Roth, Briane Paul Samson, Laurent Hébert-Dufresne:
Distinguishing In-Groups and Onlookers by Language Use. 157-171 - Aaron Maladry, Els Lefever, Cynthia Van Hee, Véronique Hoste:
Irony Detection for Dutch: a Venture into the Implicit. 172-181 - Elma Kerz, Yu Qiao, Sourabh Zanwar, Daniel Wiechmann:
Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psycholinguistic Features. 182-194 - Federico Bianchi, Debora Nozza, Dirk Hovy:
XLM-EMO: Multilingual Emotion Prediction in Social Media Text. 195-203 - Rogério Sousa, Thiago Alexandre Salgueiro Pardo:
Evaluating Content Features and Classification Methods for Helpfulness Prediction of Online Reviews: Establishing a Benchmark for Portuguese. 204-213 - Valentin Barrière, Shabnam Tafreshi, João Sedoc, Sawsan Alqahtani:
WASSA 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories. 214-227 - Yue Chen, Yingnan Ju, Sandra Kübler:
IUCL at WASSA 2022 Shared Task: A Text-only Approach to Empathy and Emotion Detection. 228-232 - Bin Li, Yixuan Weng, Qiya Song, Bin Sun, Shutao Li:
Continuing Pre-trained Model with Multiple Training Strategies for Emotional Classification. 233-238 - Flor Miriam Plaza del Arco, Jaime Collado-Montañez, Luis Alfonso Ureña López, María Teresa Martín Valdivia:
Empathy and Distress Prediction using Transformer Multi-output Regression and Emotion Analysis with an Ensemble of Supervised and Zero-Shot Learning Models. 239-244 - Shaily Desai, Atharva Kshirsagar, Aditi Sidnerlikar, Nikhil Khodake, Manisha Marathe:
Leveraging Emotion-Specific features to improve Transformer performance for Emotion Classification. 245-249 - Aditya Kane, Shantanu Patankar, Sahil Khose, Neeraja Kirtane:
Transformer based ensemble for emotion detection. 250-254 - Soumitra Ghosh, Dhirendra Maurya, Asif Ekbal, Pushpak Bhattacharyya:
Team IITP-AINLPML at WASSA 2022: Empathy Detection, Emotion Classification and Personality Detection. 255-260 - Himil Vasava, Pramegh Uikey, Gaurav Wasnik, Raksha Sharma:
Transformer-based Architecture for Empathy Prediction and Emotion Classification. 261-264 - Bin Li, Yixuan Weng, Qiya Song, Fuyan Ma, Bin Sun, Shutao Li:
Prompt-based Pre-trained Model for Personality and Interpersonal Reactivity Prediction. 265-270 - Shenbin Qian, Constantin Orasan, Diptesh Kanojia, Hadeel Saadany, Félix do Carmo:
SURREY-CTS-NLP at WASSA2022: An Experiment of Discourse and Sentiment Analysis for the Prediction of Empathy, Distress and Emotion. 271-275 - Himanshu Maheshwari, Vasudeva Varma:
An Ensemble Approach to Detect Emotions at an Essay Level. 276-279 - Allison Lahnala, Charles Welch, Lucie Flek:
CAISA at WASSA 2022: Adapter-Tuning for Empathy Prediction. 280-285 - Leo Obadic, Martin Tutek, Jan Snajder:
NLPOP: a Dataset for Popularity Prediction of Promoted NLP Research on Twitter. 286-292 - Yang Shuo:
Tagging Without Rewriting: A Probabilistic Model for Unpaired Sentiment and Style Transfer. 293-303 - Diogo Silva, David Semedo, João Magalhães:
Polite Task-oriented Dialog Agents: To Generate or to Rewrite? 304-314 - Anne Kreuter, Kai Sassenberg, Roman Klinger:
Items from Psychometric Tests as Training Data for Personality Profiling Models of Twitter Users. 315-323
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