| 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 | 136 | 2020 |
| Classification for Crisis-Related Tweets Leveraging Word Embeddings and Data Augmentation. C Wang, D Lillis TREC 2019, 2019 | 22 | 2019 |
| Transformer-based Multi-task Learning for Disaster Tweet Categorisation C Wang, P Nulty, D Lillis Proceedings of the 18th ISCRAM Conference, 2021 | 19 | 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 |
| Crisis Domain Adaptation Using Sequence-to-sequence Transformers C Wang, P Nulty, D Lillis Proceedings of the 18th ISCRAM Conference, 2021 | 5 | 2021 |
| Multi-task transfer learning for finding actionable information from crisis-related messages on social media C Wang, D Lillis TREC 2020, 2021 | 4 | 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 | 3 | 2022 |
| STA: Self-controlled Text Augmentation for Improving Text Classifications C Wang, GF Pontiveros, S Derby, TK Wijaya arXiv preprint arXiv:2302.12784, 2023 | 2 | 2023 |
| Ucd-cs at trec 2021 incident streams track C Wang, D Lillis arXiv preprint arXiv:2112.03737, 2021 | 2 | 2021 |
| Coping with low data availability for social media crisis message categorisation C Wang arXiv preprint arXiv:2305.17211, 2023 | | 2023 |
David LillisAssistant Professor, School of Computer Science, University College DublinVerified email at ucd.ie