Papers
35 papers found
ARC-NLP at ClimateActivism 2024: Stance and Hate Speech Detection by Generative and Encoder Models Optimized with Tweet-Specific Elements
Ahmet Kaya, Oguzhan Ozcelik, Cagri Toraman
Hierarchical Aligned Multimodal Learning for NER on Tweet Posts
Peipei Liu, Hong Li, Yimo Ren et al.
RePALM: Popular Quote Tweet Generation via Auto-Response Augmentation
Erxin Yu, Jing Li, Chunpu Xu
Synchronizing Approach in Designing Annotation Guidelines for Multilingual Datasets: A COVID-19 Case Study Using English and Japanese Tweets
Kiki Ferawati, Wan Jou She, Shoko Wakamiya et al.
DILAB at #SMM4H 2024: RoBERTa Ensemble for Identifying Children’s Medical Disorders in English Tweets
Azmine Toushik Wasi, Sheikh Rahman
LT4SG@SMM4H’24: Tweets Classification for Digital Epidemiology of Childhood Health Outcomes Using Pre-Trained Language Models
Dasun Athukoralage, Thushari Atapattu, Menasha Thilakaratne et al.
SMM4H 2024: 5 Fold Cross Validation for Classification of tweets reporting children’s disorders
Lipika Dey, B Naik, Oppangi Poojita et al.
Deloitte at #SMM4H 2024: Can GPT-4 Detect COVID-19 Tweets Annotated by Itself?
Harika Abburi, Nirmala Pudota, Balaji Veeramani et al.
ADE Oracle at #SMM4H 2024: A Two-Stage NLP System for Extracting and Normalizing Adverse Drug Events from Tweets
Andrew Davis, Billy Dickson, Sandra Kübler
BrainStorm @ iREL at #SMM4H 2024: Leveraging Translation and Topical Embeddings for Annotation Detection in Tweets
Manav Chaudhary, Harshit Gupta, Vasudeva Varma
712forTask7 at #SMM4H 2024 Task 7: Classifying Spanish Tweets Annotated by Humans versus Machines with BETO Models
Hafizh Yusuf, David Belmonte, Dalton Simancek et al.
BIT@UA at #SMM4H 2024 Tasks 1 and 5: finding adverse drug events and children’s medical disorders in English tweets
Luís Carlos Afonso, João Rafael Almeida, Rui Antunes et al.
Findings of the WASSA 2024 EXALT shared task on Explainability for Cross-Lingual Emotion in Tweets
Aaron Maladry, Pranaydeep Singh, Els Lefever
WU_TLAXE at WASSA 2024 Explainability for Cross-Lingual Emotion in Tweets Shared Task 1: Emotion through Translation using TwHIN-BERT and GPT
Jon Davenport, Keren Ruditsky, Anna Batra et al.
Annotations for Exploring Food Tweets from Multiple Aspects
Matiss Rikters, Rinalds Vīksna, Edison Marrese-Taylor
Exploring BERT-Based Classification Models for Detecting Phobia Subtypes: A Novel Tweet Dataset and Comparative Analysis
Anik Das, Milton King, James Alexander Hughes
M2SA: Multimodal and Multilingual Model for Sentiment Analysis of Tweets
Gaurish Thakkar, Sherzod Hakimov, Marko Tadić
MiDe22: An Annotated Multi-Event Tweet Dataset for Misinformation Detection
Cagri Toraman, Oguzhan Ozcelik, Furkan Sahinuc et al.
PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweets
Arianna Muti, Federico Ruggeri, Cagri Toraman et al.
TweetTER: A Benchmark for Target Entity Retrieval on Twitter without Knowledge Bases
Kiamehr Rezaee, Jose Camacho-Collados, Mohammad Taher Pilehvar
Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities
Zihao He, Ashwin Rao, Siyi Guo et al.
Fine-Tuning Language Models on Dutch Protest Event Tweets
Meagan Loerakker, Laurens Müter, Marijn Schraagen