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ORCID13th WASSA@ACL 2023: Toronto, Canada
- Jeremy Barnes, Orphée De Clercq, Roman Klinger:
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, WASSA@ACL 2023, Toronto, Canada, July 14, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-87-6 - Erxue Min, Sophia Ananiadou:
PESTO: A Post-User Fusion Network for Rumour Detection on Social Media. 1-10 - Yuri Bizzoni, Pascale Moreira, Mads Rosendahl Thomsen
, Kristoffer L. Nielbo:
Sentimental Matters - Predicting Literary Quality by Sentiment Analysis and Stylometric Features. 11-18 - Siddharth Varia, Shuai Wang, Kishaloy Halder, Robert Vacareanu, Miguel Ballesteros, Yassine Benajiba, Neha Anna John, Rishita Anubhai, Smaranda Muresan, Dan Roth:
Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis. 19-27 - Adam Sutton, Almog Simchon, Matthew Edwards, Stephan Lewandowsky:
You Are What You Read: Inferring Personality From Consumed Textual Content. 28-38 - Aswathy Velutharambath, Roman Klinger:
UNIDECOR: A Unified Deception Corpus for Cross-Corpus Deception Detection. 39-51 - Salim Sazzed:
Discourse Mode Categorization of Bengali Social Media Health Text. 52-57 - Justin J. Xie, Ameeta Agrawal:
Emotion and Sentiment Guided Paraphrasing. 58-70 - Nadine Probol, Margot Mieskes:
Emotions in Spoken Language - Do we need acoustics? 71-84 - Gabriel Roccabruna, Seyed Mahed Mousavi, Giuseppe Riccardi:
Understanding Emotion Valence is a Joint Deep Learning Task. 85-95 - Matyas Bohacek, Michal Bravansky, Filip Trhlík, Václav Moravec:
Czech-ing the News: Article Trustworthiness Dataset for Czech. 96-109 - Melanie Subbiah, Amrita Bhattacharjee, Bobby Yilun Hua, Tharindu Kumarage, Huan Liu, Kathleen R. McKeown:
Towards Detecting Harmful Agendas in News Articles. 110-128 - Monil Gokani, Radhika Mamidi:
GSAC: A Gujarati Sentiment Analysis Corpus from Twitter. 129-137 - Andrea Zielinski, Calvin Spolwind, Henning Kroll, Anna Grimm:
A Dataset for Explainable Sentiment Analysis in the German Automotive Industry. 138-148 - Nannan Huang, Lin Tian, Haytham Fayek, Xiuzhen Zhang:
Examining Bias in Opinion Summarisation through the Perspective of Opinion Diversity. 149-161 - Ji-Eun Han, Kyung-Ah Sohn:
Fluency Matters! Controllable Style Transfer with Syntax Guidance. 162-171 - Hamideh Ghanadian, Isar Nejadgholi, Hussein Al Osman:
ChatGPT for Suicide Risk Assessment on Social Media: Quantitative Evaluation of Model Performance, Potentials and Limitations. 172-183 - Akshat Gupta, Xiaomo Liu, Sameena Shah:
Unsupervised Domain Adaptation using Lexical Transformations and Label Injection for Twitter Data. 184-193 - Samuel González López, Steven Bethard:
Transformer-based cynical expression detection in a corpus of Spanish YouTube reviews. 194-201 - Shreya Havaldar, Bhumika Singhal, Sunny Rai, Langchen Liu, Sharath Chandra Guntuku, Lyle H. Ungar:
Multilingual Language Models are not Multicultural: A Case Study in Emotion. 202-214 - Yukyung Lee, Jaehee Kim, Doyoon Kim, Yookyung Kho, Younsun Kim, Pilsung Kang:
Painsight: An Extendable Opinion Mining Framework for Detecting Pain Points Based on Online Customer Reviews. 215-227 - Patrícia Pereira, Helena Moniz, Isabel Dias, João Paulo Carvalho:
Context-Dependent Embedding Utterance Representations for Emotion Recognition in Conversations. 228-236 - Jens Lemmens, Walter Daelemans:
Combining Active Learning and Task Adaptation with BERT for Cost-Effective Annotation of Social Media Datasets. 237-250 - Jens Van Nooten, Walter Daelemans:
Improving Dutch Vaccine Hesitancy Monitoring via Multi-Label Data Augmentation with GPT-3.5. 251-270 - Mohammad Ali Hussiny, Lilja Øvrelid:
Emotion Analysis of Tweets Banning Education in Afghanistan. 271-277 - Sanne Hoeken, Sina Zarrieß, Özge Alaçam:
Identifying Slurs and Lexical Hate Speech via Light-Weight Dimension Projection in Embedding Space. 278-289 - Jeremy Barnes:
Sentiment and Emotion Classification in Low-resource Settings. 290-304 - Elena Savinova, Fermín Moscoso del Prado:
Analyzing Subjectivity Using a Transformer-Based Regressor Trained on Naïve Speakers' Judgements. 305-314 - Aaron Maladry, Els Lefever, Cynthia Van Hee, Véronique Hoste:
A Fine Line Between Irony and Sincerity: Identifying Bias in Transformer Models for Irony Detection. 315-324 - Sophie F. Jentzsch, Kristian Kersting:
ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models. 325-340 - Michela Lorandi, Anya Belz:
How to Control Sentiment in Text Generation: A Survey of the State-of-the-Art in Sentiment-Control Techniques. 341-353 - Irene Benedetto, Moreno La Quatra, Luca Cagliero, Luca Vassio, Martino Trevisan:
Transformer-based Prediction of Emotional Reactions to Online Social Network Posts. 354-364 - Kushal Tatariya, Heather C. Lent, Miryam de Lhoneux:
Transfer Learning for Code-Mixed Data: Do Pretraining Languages Matter? 365-378 - Yuheun Kim, Lu Guo, Bei Yu, Yingya Li:
Can ChatGPT Understand Causal Language in Science Claims? 379-389 - Adithya V. Ganesan, Yash Kumar Lal, August Håkan Nilsson, H. Andrew Schwartz:
Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation. 390-400 - Daniela Teodorescu, Alona Fyshe, Saif M. Mohammad:
Utterance Emotion Dynamics in Children's Poems: Emotional Changes Across Age. 401-415 - Maria Alexeeva, Caroline Hyland, Keith Alcock, Allegra Argent Beal Cohen, Hubert Kanyamahanga, Isaac Kobby Anni, Mihai Surdeanu:
Annotating and Training for Population Subjective Views. 416-430 - Udhaya Kumar Rajendran, Amine Trabelsi:
Exploration of Contrastive Learning Strategies toward more Robust Stance Detection. 431-440 - Ankita Bhaumik, Andy Bernhardt, Gregorios A. Katsios, Ning Sa, Tomek Strzalkowski:
Adapting Emotion Detection to Analyze Influence Campaigns on Social Media. 441-451 - Brianna O'Boyle, Gabriel Doyle:
Not Just Iconic: Emoji Interpretation is Shaped by Use. 452-457 - Luna De Bruyne:
The Paradox of Multilingual Emotion Detection. 458-466 - Molly Ireland, Micah Iserman, Kiki Adams:
Sadness and Anxiety Language in Reddit Messages Before and After Quitting a Job. 467-478 - Robin Schaefer, Christoph Abels, Stephan Lewandowsky, Manfred Stede:
Communicating Climate Change: A Comparison Between Tweets and Speeches by German Members of Parliament. 479-496 - Akash Rawat, Nazia Nafis, Dnyaneshwar Bhadane, Diptesh Kanojia, V. Rudra Murthy:
Modelling Political Aggression on Social Media Platforms. 497-510 - Valentin Barrière, João Sedoc, Shabnam Tafreshi, Salvatore Giorgi:
Findings of WASSA 2023 Shared Task on Empathy, Emotion and Personality Detection in Conversation and Reactions to News Articles. 511-525 - Yukun Wang, Jin Wang, Xuejie Zhang:
YNU-HPCC at WASSA-2023 Shared Task 1: Large-scale Language Model with LoRA Fine-Tuning for Empathy Detection and Emotion Classification. 526-530 - Aditya Patkar, Suraj Chandrashekhar, Ram Mohan Rao Kadiyala:
AdityaPatkar at WASSA 2023 Empathy, Emotion, and Personality Shared Task: RoBERTa-Based Emotion Classification of Essays, Improving Performance on Imbalanced Data. 531-535 - Md. Rakibul Hasan, Md. Zakir Hossain, Tom Gedeon, Susannah Soon, Shafin Rahman:
Curtin OCAI at WASSA 2023 Empathy, Emotion and Personality Shared Task: Demographic-Aware Prediction Using Multiple Transformers. 536-541 - Addepalli Sai Srinivas, Nabarun Barua, Santanu Pal:
Team_Hawk at WASSA 2023 Empathy, Emotion, and Personality Shared Task: Multi-tasking Multi-encoder based transformers for Empathy and Emotion Prediction in Conversations. 542-547 - Tzu-Mi Lin, Jung-Ying Chang, Lung-Hao Lee:
NCUEE-NLP at WASSA 2023 Shared Task 1: Empathy and Emotion Prediction Using Sentiment-Enhanced RoBERTa Transformers. 548-552 - Fabio Gruschka, Allison Lahnala, Charles Welch, Lucie Flek:
Domain Transfer for Empathy, Distress, and Personality Prediction. 553-557 - Aditya Paranjape, Gaurav Kolhatkar, Yash Patwardhan, Omkar Gokhale, Shweta C. Dharmadhikari:
Converge at WASSA 2023 Empathy, Emotion and Personality Shared Task: A Transformer-based Approach for Multi-Label Emotion Classification. 558-563 - Tanmay Chavan, Kshitij Deshpande, Sheetal Sonawane:
PICT-CLRL at WASSA 2023 Empathy, Emotion and Personality Shared Task: Empathy and Distress Detection using Ensembles of Transformer Models. 564-568 - Andrew Nedilko, Yi Chu:
Team Bias Busters at WASSA 2023 Empathy, Emotion and Personality Shared Task: Emotion Detection with Generative Pretrained Transformers. 569-573 - Xin Lu, Zhuojun Li, Yanpeng Tong, Yanyan Zhao, Bing Qin:
HIT-SCIR at WASSA 2023: Empathy and Emotion Analysis at the Utterance-Level and the Essay-Level. 574-580 - Vivek Kumar, Prayag Tiwari, Sushmita Singh:
VISU at WASSA 2023 Shared Task: Detecting Emotions in Reaction to News Stories Using Transformers and Stacked Embeddings. 581-586 - Iqra Ameer, Necva Bölücü, Hua Xu, Ali Al Bataineh:
Findings of WASSA 2023 Shared Task: Multi-Label and Multi-Class Emotion Classification on Code-Mixed Text Messages. 587-595 - Jinghui Zhang, Dongming Yang, Siyu Bao, Lina Cao, Shunguo Fan:
Emotion classification on code-mixed text messages via soft prompt tuning. 596-600 - Bhaskara Hanuma Vedula, Prashant Kodali, Manish Shrivastava, Ponnurangam Kumaraguru:
PrecogIIITH@WASSA2023: Emotion Detection for Urdu-English Code-mixed Text. 601-605 - Bhavish Pahwa:
BpHigh at WASSA 2023: Using Contrastive Learning to build Sentence Transformer models for Multi-Class Emotion Classification in Code-mixed Urdu. 606-610 - Xuqiao Ran, You Zhang, Jin Wang, Dan Xu, Xuejie Zhang:
YNU-HPCC at WASSA 2023: Using Text-Mixed Data Augmentation for Emotion Classification on Code-Mixed Text Message. 611-615 - Andrew Nedilko:
Generative Pretrained Transformers for Emotion Detection in a Code-Switching Setting. 616-620
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