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| "abstract": [], | |
| "body_text": [ | |
| { | |
| "text": "The automatic analysis of Sentiment, Subjectivity, and Emotion (SSE) is once again the focus of WAS-SA. However, the breadth of each of these areas has expanded, both in the complexity of the tasks, as well as the number of applications where these techniques are applied.", | |
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| "section": "Introduction", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "On the one hand, more and more submissions approach more complex tasks in a large number of languages which were previously absent. On the other hand, many of the techniques developed in SSE have been applied to new tasks, such as hate speech, fake news detection, or narrative analysis. This year we reran and expanded the Shared Task on Empathy and Personality Detection and Emotion Classification. The shared task aimed at developing models which can predict empathy and emotion based on essays written in reaction to news articles where there is harm to a person, group, or other.", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Introduction", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "For the main workshop, we accepted 14 papers as long, another 4 as short, and accepted 4 papers committed through the ACL Rolling Review system (2 long and 2 short), giving a total of 23/37 papers accepted (62%). For the Empathy and Personality Detection and Emotion Classification Shared Task, we received 10 system description paper submissions, out of which we accepted 10. 33 papers in total will be presented at the workshop.", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Introduction", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "In addition to the regular papers, we are glad that Professor Dirk Hovy from Bocconi University and Professor Rada Mihalcea from the University of Michigan accepted our invitation to give the keynote at the WASSA workshop. ", | |
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| "ref_spans": [], | |
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| "section": "Introduction", | |
| "sec_num": null | |
| } | |
| ], | |
| "back_matter": [ | |
| { | |
| "text": "The program is both well-connected to previous topics of the workshop and advances the current stateof-the-art in the field. It includes such diverse topics as multilingual sentiment and emotion analysis, stance detection or irony detection. Others include new tasks building upon this previous knowledge, e.g., politeness generation, personality profiling, ingroup vs. onlooker detection, or narrative analysis. This year we additionally give a best paper award to the paper \"Distinguishing In-Groups and Onlookers by Language Use\" by Joshua R. Minot, Milo Z. Trujillo, Samuel F. Rosenblatt, Guillermo de Anda J\u00e1uregui, Emily Moog, Briane Paul V. Samson, Laurent H\u00e9bert-Dufresne, and Allison M. Roth.We would like to thank the ACL Organizers and Workshop chairs for their help and support during the preparation. We thank Google for their gold sponsorship. We also thank the OpenReview support team for their technical support. Finally, we especially thank the program committee for the time and effort they spent on reviewing.", | |
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| "section": "acknowledgement", | |
| "sec_num": null | |
| } | |
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| "bib_entries": { | |
| "BIBREF0": { | |
| "ref_id": "b0", | |
| "title": "Can Emotion Carriers Explain Automatic Sentiment Prediction? A Study on Personal Narratives Seyed Mahed Mousavi", | |
| "authors": [ | |
| { | |
| "first": "Gabriel", | |
| "middle": [], | |
| "last": "Roccabruna", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Aniruddha", | |
| "middle": [], | |
| "last": "Tammewar", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Steve", | |
| "middle": [], | |
| "last": "Azzolin", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Giuseppe", | |
| "middle": [], | |
| "last": "Riccardi", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": ".", | |
| "middle": [ | |
| "." | |
| ], | |
| "last": "", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Can Emotion Carriers Explain Automatic Sentiment Prediction? A Study on Personal Narratives Seyed Mahed Mousavi, Gabriel Roccabruna, Aniruddha Tammewar, Steve Azzolin and Giuseppe Riccardi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62", | |
| "links": null | |
| }, | |
| "BIBREF1": { | |
| "ref_id": "b1", | |
| "title": "Infusing Knowledge from Wikipedia to Enhance Stance Detection Zihao He, Negar Mokhberian and Kristina Lerman", | |
| "authors": [], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Infusing Knowledge from Wikipedia to Enhance Stance Detection Zihao He, Negar Mokhberian and Kristina Lerman . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71", | |
| "links": null | |
| }, | |
| "BIBREF2": { | |
| "ref_id": "b2", | |
| "title": "The Role of Contextual-Embeddings as User-Representations for Depression Assessment Matthew Matero", | |
| "authors": [ | |
| { | |
| "first": "Bert's Mood ; Albert", | |
| "middle": [], | |
| "last": "Understanding", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "H", | |
| "middle": [], | |
| "last": "Hung", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "", | |
| "middle": [ | |
| ". ." | |
| ], | |
| "last": "Schwartz", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Understanding BERT's Mood: The Role of Contextual-Embeddings as User-Representations for De- pression Assessment Matthew Matero, Albert Hung and H. Schwartz . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89", | |
| "links": null | |
| }, | |
| "BIBREF3": { | |
| "ref_id": "b3", | |
| "title": "Emotion Analysis of Writers and Readers of Japanese Tweets on", | |
| "authors": [], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Emotion Analysis of Writers and Readers of Japanese Tweets on Vaccinations Patrick John Co Ramos, Kiki Ferawati, Kongmeng Liew, Eiji Aramaki and Shoko Wakamiya . 95", | |
| "links": null | |
| }, | |
| "BIBREF4": { | |
| "ref_id": "b4", | |
| "title": "Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction Ayal Klein, Oren Pereg, Daniel Korat, Vasudev Lal, Moshe Wasserblat and Ido Dagan", | |
| "authors": [], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction Ayal Klein, Oren Pereg, Daniel Korat, Vasudev Lal, Moshe Wasserblat and Ido Dagan . . . . . . 104", | |
| "links": null | |
| }, | |
| "BIBREF5": { | |
| "ref_id": "b5", | |
| "title": "Word Embeddings Alignment for Cross-lingual Emotion Classification with Hierarchical Attention Network Ying Hao Lim and", | |
| "authors": [ | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "English-Malay", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "English-Malay Word Embeddings Alignment for Cross-lingual Emotion Classification with Hierarchi- cal Attention Network Ying Hao Lim and Jasy Suet Yan Liew . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113", | |
| "links": null | |
| }, | |
| "BIBREF6": { | |
| "ref_id": "b6", | |
| "title": "Assessment of Massively Multilingual Sentiment Classifiers Krzysztof Rajda", | |
| "authors": [], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Assessment of Massively Multilingual Sentiment Classifiers Krzysztof Rajda, Lukasz Augustyniak, Piotr Gramacki, Marcin Gruza, Szymon Wo\u017aniak and", | |
| "links": null | |
| }, | |
| "BIBREF8": { | |
| "ref_id": "b8", | |
| "title": "Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-Tuning Chiyu Zhang and", | |
| "authors": [], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-Tuning Chiyu Zhang and Muhammad Abdul-Mageed . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141", | |
| "links": null | |
| }, | |
| "BIBREF9": { | |
| "ref_id": "b9", | |
| "title": "Groups and Onlookers by Language Use", | |
| "authors": [ | |
| { | |
| "first": "Milo", | |
| "middle": [ | |
| "Z" | |
| ], | |
| "last": "Joshua R Minot", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Trujillo", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "F", | |
| "middle": [], | |
| "last": "Samuel", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Guillermo", | |
| "middle": [], | |
| "last": "Rosenblatt", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Emily", | |
| "middle": [], | |
| "last": "De Anda-J\u00e1uregui", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Allison", | |
| "middle": [ | |
| "M" | |
| ], | |
| "last": "Moog", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Roth", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Paul", | |
| "middle": [], | |
| "last": "Briane", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Laurent", | |
| "middle": [], | |
| "last": "Samson", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "", | |
| "middle": [ | |
| ". . . . . . . . . . . . . . . . ." | |
| ], | |
| "last": "H\u00e9bert-Dufresne", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Distinguishing In-Groups and Onlookers by Language Use Joshua R Minot, Milo Z Trujillo, Samuel F Rosenblatt, Guillermo De Anda-J\u00e1uregui, Emily Moog, Allison M. Roth, Briane Paul Samson and Laurent H\u00e9bert-Dufresne . . . . . . . . . . . . . . . . . . . . . 157", | |
| "links": null | |
| }, | |
| "BIBREF10": { | |
| "ref_id": "b10", | |
| "title": "172 vii Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psycholinguistic Features Elma", | |
| "authors": [ | |
| { | |
| "first": "Els", | |
| "middle": [], | |
| "last": "Lefever", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Cynthia", | |
| "middle": [], | |
| "last": "Van Hee", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Veronique", | |
| "middle": [ | |
| ". . . . . . . . . . . . . . . . . . ." | |
| ], | |
| "last": "Hoste", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": null, | |
| "venue": "Irony Detection for Dutch: a Venture into the Implicit Aaron Maladry", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Irony Detection for Dutch: a Venture into the Implicit Aaron Maladry, Els Lefever, Cynthia Van Hee and Veronique Hoste . . . . . . . . . . . . . . . . . . . . . . . 172 vii Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psy- cholinguistic Features Elma Kerz, Yu Qiao, Sourabh Zanwar and Daniel Wiechmann . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182", | |
| "links": null | |
| }, | |
| "BIBREF11": { | |
| "ref_id": "b11", | |
| "title": "Multilingual Emotion Prediction in Social Media Text Federico Bianchi, Debora Nozza and", | |
| "authors": [ | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Xlm-Emo", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "XLM-EMO: Multilingual Emotion Prediction in Social Media Text Federico Bianchi, Debora Nozza and Dirk Hovy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195", | |
| "links": null | |
| }, | |
| "BIBREF12": { | |
| "ref_id": "b12", | |
| "title": "Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories Valentin Barriere", | |
| "authors": [], | |
| "year": null, | |
| "venue": "Evaluating Content Features and Classification Methods for Helpfulness Prediction of Online Reviews: Establishing a Benchmark for Portuguese Rog\u00e9rio Figueredo Sousa and", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Evaluating Content Features and Classification Methods for Helpfulness Prediction of Online Reviews: Establishing a Benchmark for Portuguese Rog\u00e9rio Figueredo Sousa and Thiago A. S. Pardo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204 WASSA 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories Valentin Barriere, Shabnam Tafreshi, Jo\u00e3o Sedoc and Sawsan Alqahtani . . . . . . . . . . . . . . . . . . . 214", | |
| "links": null | |
| }, | |
| "BIBREF13": { | |
| "ref_id": "b13", | |
| "title": "IUCL at WASSA 2022 Shared Task: A Text-only Approach to Empathy and Emotion Detection Yue Chen", | |
| "authors": [ | |
| { | |
| "first": "Yingnan", | |
| "middle": [], | |
| "last": "Ju", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Sandra", | |
| "middle": [], | |
| "last": "K\u00fcbler", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": ".", | |
| "middle": [ | |
| "." | |
| ], | |
| "last": "", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "IUCL at WASSA 2022 Shared Task: A Text-only Approach to Empathy and Emotion Detection Yue Chen, Yingnan Ju and Sandra K\u00fcbler . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228", | |
| "links": null | |
| }, | |
| "BIBREF14": { | |
| "ref_id": "b14", | |
| "title": "Continuing Pre-trained Model with Multiple Training Strategies for Emotional Classification Bin Li, Yixuan Weng, Qiya Song, Bin Sun and", | |
| "authors": [ | |
| { | |
| "first": ".", | |
| "middle": [ | |
| "." | |
| ], | |
| "last": "Shutao Li", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Continuing Pre-trained Model with Multiple Training Strategies for Emotional Classification Bin Li, Yixuan Weng, Qiya Song, Bin Sun and Shutao Li . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233", | |
| "links": null | |
| }, | |
| "BIBREF15": { | |
| "ref_id": "b15", | |
| "title": "Empathy and Distress Prediction using Transformer Multi-output Regression and Emotion Analysis with an Ensemble of Supervised and Zero-Shot Learning Models Flor", | |
| "authors": [], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Empathy and Distress Prediction using Transformer Multi-output Regression and Emotion Analysis wi- th an Ensemble of Supervised and Zero-Shot Learning Models Flor Miriam Plaza Del Arco, Jaime Collado-Monta\u00f1ez, L. Alfonso Ure\u00f1a and Mar\u00eda-Teresa", | |
| "links": null | |
| }, | |
| "BIBREF17": { | |
| "ref_id": "b17", | |
| "title": "Leveraging Emotion-Specific features to improve Transformer performance for Emotion Classification", | |
| "authors": [], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Leveraging Emotion-Specific features to improve Transformer performance for Emotion Classification Shaily Desai, Atharva M Kshirsagar, Aditi Sidnerlikar, Nikhil Vinod Khodake and Manisha", | |
| "links": null | |
| }, | |
| "BIBREF18": { | |
| "ref_id": "b18", | |
| "title": "Transformer based ensemble for emotion detection Aditya Kane, Shantanu Patankar, Sahil Khose and Neeraja Kirtane", | |
| "authors": [ | |
| { | |
| "first": "", | |
| "middle": [ | |
| ". . . ." | |
| ], | |
| "last": "Vinayak Marathe", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Vinayak Marathe . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245 Transformer based ensemble for emotion detection Aditya Kane, Shantanu Patankar, Sahil Khose and Neeraja Kirtane . . . . . . . . . . . . . . . . . . . . . . . . 250", | |
| "links": null | |
| }, | |
| "BIBREF19": { | |
| "ref_id": "b19", | |
| "title": "Empathy Detection, Emotion Classification and Personality Detection Soumitra Ghosh, Dhirendra Kumar Maurya, Asif Ekbal and Pushpak Bhattacharyya", | |
| "authors": [], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Team IITP-AINLPML at WASSA 2022: Empathy Detection, Emotion Classification and Personality Detection Soumitra Ghosh, Dhirendra Kumar Maurya, Asif Ekbal and Pushpak Bhattacharyya . . . . . . . . 255", | |
| "links": null | |
| }, | |
| "BIBREF20": { | |
| "ref_id": "b20", | |
| "title": "Transformer-based Architecture for Empathy Prediction and Emotion Classification Himil Vasava", | |
| "authors": [ | |
| { | |
| "first": "Pramegh", | |
| "middle": [], | |
| "last": "Uikey", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Gaurav", | |
| "middle": [], | |
| "last": "Wasnik", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Raksha", | |
| "middle": [], | |
| "last": "Sharma", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": ".", | |
| "middle": [ | |
| "." | |
| ], | |
| "last": "", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Transformer-based Architecture for Empathy Prediction and Emotion Classification Himil Vasava, Pramegh Uikey, Gaurav Wasnik and Raksha Sharma . . . . . . . . . . . . . . . . . . . . . . . 261", | |
| "links": null | |
| }, | |
| "BIBREF21": { | |
| "ref_id": "b21", | |
| "title": "Prompt-based Pre-trained Model for Personality and Interpersonal Reactivity Prediction Bin Li", | |
| "authors": [ | |
| { | |
| "first": "Yixuan", | |
| "middle": [], | |
| "last": "Weng", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Qiya", | |
| "middle": [], | |
| "last": "Song", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Fuyan", | |
| "middle": [], | |
| "last": "Ma", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Bin", | |
| "middle": [], | |
| "last": "Sun", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Shutao", | |
| "middle": [], | |
| "last": "Li", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": ".", | |
| "middle": [ | |
| "." | |
| ], | |
| "last": "", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Prompt-based Pre-trained Model for Personality and Interpersonal Reactivity Prediction Bin Li, Yixuan Weng, Qiya Song, Fuyan Ma, Bin Sun and Shutao Li . . . . . . . . . . . . . . . . . . . . . . 265", | |
| "links": null | |
| }, | |
| "BIBREF22": { | |
| "ref_id": "b22", | |
| "title": "An Experiment of Discourse and Sentiment Analysis for the Prediction of Empathy, Distress and Emotion Shenbin Qian, Constantin Orasan, Diptesh Kanojia, Hadeel Saadany and F\u00e9lix Do Carmo", | |
| "authors": [ | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Surrey-Cts-Nlp At Wassa2022", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "SURREY-CTS-NLP at WASSA2022: An Experiment of Discourse and Sentiment Analysis for the Pre- diction of Empathy, Distress and Emotion Shenbin Qian, Constantin Orasan, Diptesh Kanojia, Hadeel Saadany and F\u00e9lix Do Carmo . . . 271", | |
| "links": null | |
| }, | |
| "BIBREF23": { | |
| "ref_id": "b23", | |
| "title": "An Ensemble Approach to Detect Emotions at an Essay Level Himanshu Maheshwari and Vasudeva Varma", | |
| "authors": [], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "An Ensemble Approach to Detect Emotions at an Essay Level Himanshu Maheshwari and Vasudeva Varma . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 276", | |
| "links": null | |
| }, | |
| "BIBREF24": { | |
| "ref_id": "b24", | |
| "title": "CAISA at WASSA 2022: Adapter-Tuning for Empathy Prediction Allison Lahnala", | |
| "authors": [ | |
| { | |
| "first": "Charles", | |
| "middle": [], | |
| "last": "Welch", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Lucie", | |
| "middle": [], | |
| "last": "Flek", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": ".", | |
| "middle": [ | |
| "." | |
| ], | |
| "last": "", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "CAISA at WASSA 2022: Adapter-Tuning for Empathy Prediction Allison Lahnala, Charles Welch and Lucie Flek . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280", | |
| "links": null | |
| }, | |
| "BIBREF26": { | |
| "ref_id": "b26", | |
| "title": "Tagging Without Rewriting: A Probabilistic Model for Unpaired Sentiment and Style Transfer Yang Shuo", | |
| "authors": [], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Tagging Without Rewriting: A Probabilistic Model for Unpaired Sentiment and Style Transfer Yang Shuo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293", | |
| "links": null | |
| }, | |
| "BIBREF28": { | |
| "ref_id": "b28", | |
| "title": "Eiji Aramaki and Shoko Wakamiya Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction Ayal Klein, Oren Pereg, Daniel Korat, Vasudev Lal, Moshe Wasserblat and Ido Dagan Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psycholinguistic Features Elma Kerz, Yu Qiao, Sourabh Zanwar and Daniel Wiechmann XLM-EMO: Multilingual Emotion Prediction in Social Media Text Federico Bianchi, Debora Nozza and Dirk Hovy Evaluating Content Features and Classification Methods for Helpfulness Prediction of Online Reviews: Establishing a Benchmark for Portuguese Rog\u00e9rio Figueredo Sousa and Thiago A. S. Pardo Tagging Without Rewriting: A Probabilistic Model for Unpaired Sentiment and Style Transfer Yang Shuo NLPOP: a Dataset for Popularity Prediction of Promoted NLP Research on Twitter Leo Obadi\u0107", | |
| "authors": [ | |
| { | |
| "first": "Pradeep", | |
| "middle": [], | |
| "last": "Lin", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Lantian", | |
| "middle": [], | |
| "last": "Kumar Nalluri", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "; John Co", | |
| "middle": [], | |
| "last": "Li", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Kiki", | |
| "middle": [], | |
| "last": "Ramos", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Kongmeng", | |
| "middle": [], | |
| "last": "Ferawati", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Liew", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": null, | |
| "venue": "Multiplex Anti-Asian Sentiment before and during the Pandemic: Introducing New Datasets from Twitter Mining Hao", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Multiplex Anti-Asian Sentiment before and during the Pandemic: Introducing New Datasets from Twitter Mining Hao Lin, Pradeep Kumar Nalluri, Lantian Li, Yifan Sun and Yongjun Zhang Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data Zixuan Ke, Mohammad Kachuee and Sungjin Lee Infusing Knowledge from Wikipedia to Enhance Stance Detection Zihao He, Negar Mokhberian and Kristina Lerman Understanding BERT's Mood: The Role of Contextual-Embeddings as User-Representations for Depression Assessment Matthew Matero, Albert Hung and H. Schwartz Emotion Analysis of Writers and Readers of Japanese Tweets on Vaccinations Patrick John Co Ramos, Kiki Ferawati, Kongmeng Liew, Eiji Aramaki and Shoko Wakamiya Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction Ayal Klein, Oren Pereg, Daniel Korat, Vasudev Lal, Moshe Wasserblat and Ido Dagan Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psycholinguistic Features Elma Kerz, Yu Qiao, Sourabh Zanwar and Daniel Wiechmann XLM-EMO: Multilingual Emotion Prediction in Social Media Text Federico Bianchi, Debora Nozza and Dirk Hovy Evaluating Content Features and Classification Methods for Helpfulness Prediction of Online Reviews: Establishing a Benchmark for Portuguese Rog\u00e9rio Figueredo Sousa and Thiago A. S. Pardo Tagging Without Rewriting: A Probabilistic Model for Unpaired Sentiment and Style Transfer Yang Shuo NLPOP: a Dataset for Popularity Prediction of Promoted NLP Research on Twitter Leo Obadi\u0107, Martin Tutek and Jan\u0160najder Polite Task-oriented Dialog Agents: To Generate or to Rewrite? Diogo Silva, David Semedo and Jo\u00e3o Magalh\u00e3es", | |
| "links": null | |
| } | |
| }, | |
| "ref_entries": { | |
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| "text": "On the Complementarity of Images and Text for the Expression of Emotions in Social Media Anna Khlyzova, Carina Silberer and Roman Klinger . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Multiplex Anti-Asian Sentiment before and during the Pandemic: Introducing New Datasets from Twitter Mining Hao Lin, Pradeep Kumar Nalluri, Lantian Li, Yifan Sun and Yongjun Zhang . . . . . . . . . . . . . . . . 16 Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data Zixuan Ke, Mohammad Kachuee and Sungjin Lee . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 \"splink\" is happy and \"phrouth\" is scary: Emotion Intensity Analysis for Nonsense Words Valentino Sabbatino, Enrica Troiano, Antje Schweitzer and Roman Klinger . . . . . . . . . . . . . . . . . 37 SentEMO: A Multilingual Adaptive Platform for Aspect-based Sentiment and Emotion Analysis Ellen De Geyndt, Orphee De Clercq, Cynthia Van Hee, Els Lefever, Pranaydeep Singh, Olivier Parent and Veronique Hoste . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51", | |
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