Abstract is missing.
- On the Complementarity of Images and Text for the Expression of Emotions in Social MediaAnna Khlyzova, Carina Silberer, Roman Klinger. 1-15 [doi]
- Multiplex Anti-Asian Sentiment before and during the Pandemic: Introducing New Datasets from Twitter MiningHao Lin, Pradeep Nalluri, Lantian Li, Yifan Sun, Yongjun Zhang. 16-24 [doi]
- Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced DataZixuan Ke, Mohammad Kachuee, Sungjin Lee. 25-36 [doi]
- "splink" is happy and "phrouth" is scary: Emotion Intensity Analysis for Nonsense WordsValentino Sabbatino, Enrica Troiano, Antje Schweitzer, Roman Klinger. 37-50 [doi]
- SentEMO: A Multilingual Adaptive Platform for Aspect-based Sentiment and Emotion AnalysisEllen De Geyndt, Orphée De Clercq, Cynthia Van Hee, Els Lefever, Pranaydeep Singh, Olivier Parent, Véronique Hoste. 51-61 [doi]
- Can Emotion Carriers Explain Automatic Sentiment Prediction? A Study on Personal NarrativesSeyed Mahed Mousavi, Gabriel Roccabruna, Aniruddha Tammewar, Steve Azzolin, Giuseppe Riccardi. 62-70 [doi]
- Infusing Knowledge from Wikipedia to Enhance Stance DetectionZihao He, Negar Mokhberian, Kristina Lerman. 71-77 [doi]
- Uncertainty Regularized Multi-Task LearningKourosh Meshgi, Maryam Sadat Mirzaei, Satoshi Sekine. 78-88 [doi]
- Understanding BERT's Mood: The Role of Contextual-Embeddings as User-Representations for Depression AssessmentMatthew Matero, Albert Hung, H. Andrew Schwartz. 89-94 [doi]
- Emotion Analysis of Writers and Readers of Japanese Tweets on VaccinationsPatrick John Ramos, Kiki Ferawati, Kongmeng Liew, Eiji Aramaki, Shoko Wakamiya. 95-103 [doi]
- Opinion-based Relational Pivoting for Cross-domain Aspect Term ExtractionAyal Klein, Oren Pereg, Daniel Korat, Vasudev Lal, Moshe Wasserblat, Ido Dagan. 104-112 [doi]
- English-Malay Word Embeddings Alignment for Cross-lingual Emotion Classification with Hierarchical Attention NetworkYing Hao Lim, Jasy Suet Yan Liew. 113-124 [doi]
- Assessment of Massively Multilingual Sentiment ClassifiersKrzysztof Rajda, Lukasz Augustyniak, Piotr Gramacki, Marcin Gruza, Szymon Wozniak, Tomasz Kajdanowicz. 125-140 [doi]
- Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-TuningChiyu Zhang, Muhammad Abdul-Mageed. 141-156 [doi]
- Distinguishing In-Groups and Onlookers by Language UseJoshua Minot, Milo Trujillo, Samuel F. Rosenblatt, Guillermo de Anda-Jáuregui, Emily Moog, Allison M. Roth, Briane Paul Samson, Laurent Hébert-Dufresne. 157-171 [doi]
- Irony Detection for Dutch: a Venture into the ImplicitAaron Maladry, Els Lefever, Cynthia Van Hee, Véronique Hoste. 172-181 [doi]
- Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psycholinguistic FeaturesElma Kerz, Yu Qiao, Sourabh Zanwar, Daniel Wiechmann. 182-194 [doi]
- XLM-EMO: Multilingual Emotion Prediction in Social Media TextFederico Bianchi, Debora Nozza, Dirk Hovy. 195-203 [doi]
- Evaluating Content Features and Classification Methods for Helpfulness Prediction of Online Reviews: Establishing a Benchmark for PortugueseRogério Sousa, Thiago Pardo. 204-213 [doi]
- WASSA 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News StoriesValentin Barrière, Shabnam Tafreshi, João Sedoc, Sawsan Alqahtani. 214-227 [doi]
- IUCL at WASSA 2022 Shared Task: A Text-only Approach to Empathy and Emotion DetectionYue Chen, Yingnan Ju, Sandra Kübler. 228-232 [doi]
- Continuing Pre-trained Model with Multiple Training Strategies for Emotional ClassificationBin Li, Yixuan Weng, Qiya Song, Bin Sun 0001, Shutao Li. 233-238 [doi]
- Empathy and Distress Prediction using Transformer Multi-output Regression and Emotion Analysis with an Ensemble of Supervised and Zero-Shot Learning ModelsFlor Miriam Plaza del Arco, Jaime Collado-Montañez, Luis Alfonso Ureña López, María-Teresa Martín Valdivia. 239-244 [doi]
- Leveraging Emotion-Specific features to improve Transformer performance for Emotion ClassificationShaily Desai, Atharva Kshirsagar, Aditi Sidnerlikar, Nikhil Khodake, Manisha Marathe. 245-249 [doi]
- Transformer based ensemble for emotion detectionAditya Kane, Shantanu Patankar, Sahil Khose, Neeraja Kirtane. 250-254 [doi]
- Team IITP-AINLPML at WASSA 2022: Empathy Detection, Emotion Classification and Personality DetectionSoumitra Ghosh, Dhirendra Maurya, Asif Ekbal, Pushpak Bhattacharyya. 255-260 [doi]
- Transformer-based Architecture for Empathy Prediction and Emotion ClassificationHimil Vasava, Pramegh Uikey, Gaurav Wasnik, Raksha Sharma. 261-264 [doi]
- Prompt-based Pre-trained Model for Personality and Interpersonal Reactivity PredictionBin Li, Yixuan Weng, Qiya Song, Fuyan Ma, Bin Sun 0001, Shutao Li. 265-270 [doi]
- SURREY-CTS-NLP at WASSA2022: An Experiment of Discourse and Sentiment Analysis for the Prediction of Empathy, Distress and EmotionShenbin Qian, Constantin Orasan, Diptesh Kanojia, Hadeel Saadany, Félix do Carmo. 271-275 [doi]
- An Ensemble Approach to Detect Emotions at an Essay LevelHimanshu Maheshwari, Vasudeva Varma. 276-279 [doi]
- CAISA at WASSA 2022: Adapter-Tuning for Empathy PredictionAllison Lahnala, Charles Welch, Lucie Flek. 280-285 [doi]
- NLPOP: a Dataset for Popularity Prediction of Promoted NLP Research on TwitterLeo Obadic, Martin Tutek, Jan Snajder. 286-292 [doi]
- Tagging Without Rewriting: A Probabilistic Model for Unpaired Sentiment and Style TransferYang Shuo. 293-303 [doi]
- Polite Task-oriented Dialog Agents: To Generate or to Rewrite?Diogo Silva, David Semedo, João Magalhães. 304-314 [doi]
- Items from Psychometric Tests as Training Data for Personality Profiling Models of Twitter UsersAnne Kreuter, Kai Sassenberg, Roman Klinger. 315-323 [doi]