| An Analysis of Simple Data Augmentation for Named Entity Recognition X Dai, H Adel COLING, 3861-3867, 2020 | 258 | 2020 |
| An Effective Transition-based Model for Discontinuous NER X Dai, S Karimi, B Hachey, C Paris ACL, 5860-5870, 2020 | 80 | 2020 |
| Automatic Diagnosis Coding of Radiology Reports: A Comparison of Deep Learning and Conventional Classification Methods S Karimi, X Dai, H Hassanzadeh, A Nguyen ACL Workshop on Biomedical Natural Language Processing (BioNLP), 328-332, 2017 | 77 | 2017 |
| Revisiting Transformer-based Models for Long Document Classification X Dai, I Chalkidis, S Darkner, D Elliott Findings of EMNLP, 7212–7230, 2022 | 76 | 2022 |
| NNE: A Dataset for Nested Named Entity Recognition in English Newswire N Ringland, X Dai, B Hachey, S Karimi, C Paris, JR Curran ACL, 5176-5181, 2019 | 65 | 2019 |
| Using Similarity Measures to Select Pretraining Data for NER X Dai, S Karimi, B Hachey, C Paris NAACL, 1460-1470, 2019 | 61 | 2019 |
| Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media X Dai, S Karimi, B Hachey, C Paris Findings of EMNLP, 1675--1681, 2020 | 46 | 2020 |
| Recognizing Complex Entity Mentions: A Review and Future Directions X Dai ACL Student Research Workshop (ACL-SRW), 37-44, 2018 | 46 | 2018 |
| Clinician-facing AI in the Wild: Taking Stock of the Sociotechnical Challenges and Opportunities for HCI HD Zając, D Li, X Dai, JF Carlsen, F Kensing, TQ Andersen ACM Transactions on Computer-Human Interaction, 2023 | 35 | 2023 |
| An Exploration of Hierarchical Attention Transformers for Efficient Long Document Classification I Chalkidis, X Dai, M Fergadiotis, P Malakasiotis, D Elliott arXiv preprint arXiv:2210.05529, 2022 | 28 | 2022 |
| Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection A Joshi, X Dai, S Karimi, R Sparks, C Paris, CR MacIntyre EMNLP Workshop on Social Media Mining for Health Applications (SMM4H), 43-47, 2018 | 21 | 2018 |
| MultiFin: A Dataset for Multilingual Financial NLP RK Jørgensen, O Brandt, M Hartmann, X Dai, C Igel, D Elliott Findings of EACL, 894–909, 2023 | 19 | 2023 |
| Medication and Adverse Event Extraction from Noisy Text X Dai, S Karimi, C Paris Australasian Language Technology Association Workshop (ALTA), 79-87, 2017 | 19 | 2017 |
| Extracting Family History Information From Electronic Health Records: Natural Language Processing Analysis M Rybinski, X Dai, S Singh, S Karimi, A Nguyen JMIR Medical Informatics 9 (4), e24020, 2021 | 15 | 2021 |
| mDAPT: Multilingual Domain Adaptive Pretraining in a Single Model RK Jørgensen, M Hartmann, X Dai, D Elliott Findings of EMNLP, 3404--3418, 2021 | 9 | 2021 |
| CSIRO Data61 Team at BioLaySumm Task 1: Lay Summarisation of Biomedical Research Articles Using Generative Models MY Sim, X Dai, M Rybinski, S Karimi ACL Workshop on Biomedical Natural Language Processing (BioNLP), 2023 | 6 | 2023 |
| NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction L Lange, X Dai, H Adel, J Strötgen Iberian Languages Evaluation Forum (IberLEF), 335-346, 2020 | 6 | 2020 |
| SearchEHR: A Family History Search System for Clinical Decision Support X Dai, M Rybinski, S Karimi CIKM, 2021 | 5 | 2021 |
| Detecting Entities in the Astrophysics Literature: A Comparison of Word-based and Span-based Entity Recognition Methods X Dai, S Karimi AACL-IJCNLP Workshop on Information Extraction from Scientific Publications …, 2022 | 4 | 2022 |
| Recognising Biomedical Names: Challenges and Solutions X Dai University of Sydney, 2021 | 3 | 2021 |
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