Congcong Wang, Paul Nulty, David Lillis. Using Pseudo-Labelled Data for Zero-Shot Text Classification. In Proceedings of the 27th International Conference on Natural Language \& Information Systems (NLDB 2022), Valencia, Spain, June 2022.
Congcong Wang, David Lillis. UCD-CS at TREC 2021 Incident Streams Track. In Proceedings of the Thirty Text REtrieval Conference (TREC 2021), Virtual, 2022.
Congcong Wang, Paul Nulty, and David Lillis. Crisis Domain Adaptation Using Sequence-to- sequence Transformers. In Proceedings of the 18th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2021), Virtual, 2021.
Congcong Wang, Paul Nulty, and David Lillis. Transformer-based Multi-task Learning for Disaster Tweet Categorisation. In Proceedings of the 18th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2021), Virtual, 2021.
Congcong Wang, David Lillis. Multi-task transfer learning for finding actionable information from crisis-related messages on social media. In Proceedings of the Twenty-Ninth Text REtrieval Conference (TREC 2020), Virtual, 2021.
Congcong Wang, and David Lillis. UCD-CS at W-NUT 2020 Shared Task-3: A Text to Text Approach for COVID-19 Event Extraction on Social Media. In Proceedings of the 2020 EMNLP Workshop W-NUT: The 6th Workshop on Noisy User-generated Text, November 19, 2020.
Congcong Wang, Paul Nulty, and David Lillis. A Comparative Study on Word Embeddings in Deep Learning for Text Classification. In Proceedings of 4th International Conference on Natural Language Processing and Information Retrieval (NLPIR 2020), Seoul, Korea.
Congcong Wang, David Lillis. Classification for Crisis-Related Tweets Leveraging Word Embeddings and Data Augmentation. In Proceedings of the Twenty-Eighth Text REtrieval Conference (TREC 2019), Gaithersburg, MD, 2020.