A comparative study on word embeddings in deep learning for text classification C Wang, P Nulty, D Lillis Proceedings of the 4th International Conference on Natural Language …, 2020 | 93 | 2020 |
Classification for Crisis-Related Tweets Leveraging Word Embeddings and Data Augmentation. C Wang, D Lillis TREC 2019, 2019 | 18 | 2019 |
Transformer-based Multi-task Learning for Disaster Tweet Categorisation C Wang, P Nulty, D Lillis Proceedings of the 18th ISCRAM Conference, 2021 | 16 | 2021 |
UCD-CS at W-NUT 2020 Shared Task-3: A Text to Text Approach for COVID-19 Event Extraction on Social Media C Wang, D Lillis Proceedings of the 2020 EMNLP Workshop W-NUT: The Sixth Workshop on Noisy …, 2020 | 6 | 2020 |
Multi-task transfer learning for finding actionable information from crisis-related messages on social media C Wang, D Lillis TREC 2020, 2021 | 4 | 2021 |
Ucd-cs at trec 2021 incident streams track C Wang, D Lillis arXiv preprint arXiv:2112.03737, 2021 | 3 | 2021 |
Crisis Domain Adaptation Using Sequence-to-sequence Transformers C Wang, P Nulty, D Lillis Proceedings of the 18th ISCRAM Conference, 2021 | 3 | 2021 |
Using Pseudo-Labelled Data for Zero-Shot Text Classification C Wang, P Nulty, D Lillis International Conference on Applications of Natural Language to Information …, 2022 | 1 | 2022 |
Coping with low data availability for social media crisis message categorisation C Wang arXiv preprint arXiv:2305.17211, 2023 | | 2023 |
STA: Self-controlled Text Augmentation for Improving Text Classifications C Wang, GF Pontiveros, S Derby, TK Wijaya arXiv preprint arXiv:2302.12784, 2023 | | 2023 |