Medication and Adverse Event Extraction from Noisy Text. - Xiang Dai 001; Sarvnaz Karimi; Cécile Paris (ALTA, 2017)

Automatic Diagnosis Coding of Radiology Reports: A Comparison of Deep Learning and Conventional Classification Methods. - Sarvnaz Karimi; Xiang Dai 001; Hamed Hassanzadeh; Anthony N. Nguyen (BioNLP, 2017)

Recognizing Complex Entity Mentions: A Review and Future Directions. - Xiang Dai 001 (ACL (3), 2018)

Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection. - Aditya Joshi; Xiang Dai 001; Sarvnaz Karimi; Ross Sparks; Cécile Paris; C. Raina MacIntyre (SMM4H@EMNLP, 2018)

NNE: A Dataset for Nested Named Entity Recognition in English Newswire. - Nicky Ringland; Xiang Dai 001; Ben Hachey; Sarvnaz Karimi; Cécile Paris; James R. Curran (ACL (1), 2019)

Using Similarity Measures to Select Pretraining Data for NER. - Xiang Dai 001; Sarvnaz Karimi; Ben Hachey; Cécile Paris (NAACL-HLT (1), 2019)

An Effective Transition-based Model for Discontinuous NER. - Xiang Dai 001; Sarvnaz Karimi; Ben Hachey; Cécile Paris (ACL, 2020)

An Analysis of Simple Data Augmentation for Named Entity Recognition. - Xiang Dai 001; Heike Adel (COLING, 2020)

Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media. - Xiang Dai 001; Sarvnaz Karimi; Ben Hachey; Cécile Paris (EMNLP (Findings), 2020)

NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction. - Lukas Lange; Xiang Dai 001; Heike Adel; Jannik Strötgen (IberLEF@SEPLN, 2020)

SearchEHR: A Family History Search System for Clinical Decision Support. - Xiang Dai 001; Maciej Rybinski; Sarvnaz Karimi (CIKM, 2021)

mDAPT: Multilingual Domain Adaptive Pretraining in a Single Model. - Rasmus Kær Jørgensen; Mareike Hartmann; Xiang Dai 001; Desmond Elliott (EMNLP (Findings), 2021)

Recognising Biomedical Names: Challenges and Solutions. - Xiang Dai 001 (CoRR, 2021)

Revisiting Transformer-based Models for Long Document Classification. - Xiang Dai 001; Ilias Chalkidis; Sune Darkner; Desmond Elliott (EMNLP (Findings), 2022)

An Exploration of Hierarchical Attention Transformers for Efficient Long Document Classification. - Ilias Chalkidis; Xiang Dai 001; Manos Fergadiotis; Prodromos Malakasiotis; Desmond Elliott (CoRR, 2022)

Detecting Entities in the Astrophysics Literature: A Comparison of Word-based and Span-based Entity Recognition Methods. - Xiang Dai 001; Sarvnaz Karimi (CoRR, 2022)

CSIRO Data61 Team at BioLaySumm Task 1: Lay Summarisation of Biomedical Research Articles Using Generative Models. - Mong Yuan Sim; Xiang Dai 001; Maciej Rybinski; Sarvnaz Karimi (BioNLP@ACL, 2023)

Can Social Media Inform Dietary Approaches for Health Management? A Dataset and Benchmark for Low-Carb Diet. - Skyler Zou; Xiang Dai 001; Grant Brinkworth; Pennie Taylor; Sarvnaz Karimi (BioNLP@ACL, 2023)

MultiFin: A Dataset for Multilingual Financial NLP. - Rasmus Kær Jørgensen; Oliver Brandt; Mareike Hartmann; Xiang Dai 001; Christian Igel; Desmond Elliott (EACL (Findings), 2023)

Rethinking the Role of Entity Type in Relation Classification. - Xiang Dai 001; Sarvnaz Karimi; Stephen Wan 001 (IJCNLP (1), 2023)

Clinician-Facing AI in the Wild: Taking Stock of the Sociotechnical Challenges and Opportunities for HCI. - Hubert Dariusz Zajac; Dana Li; Xiang Dai 001; Jonathan Frederik Carlsen; Finn Kensing; Tariq O. Andersen (ACM Trans. Comput. Hum. Interact., 2023)

Born Differently Makes a Difference: Counterfactual Study of Bias in Biography Generation from a Data-to-Text Perspective. - Biaoyan Fang; Ritvik Dinesh; Xiang Dai 001; Sarvnaz Karimi (ACL (Short Papers), 2024)

A Critical Look at Meta-evaluating Summarisation Evaluation Metrics. - Xiang Dai 001; Sarvnaz Karimi; Biaoyan Fang (EMNLP (Findings), 2024)

Understanding Faithfulness and Reasoning of Large Language Models on Plain Biomedical Summaries. - Biaoyan Fang; Xiang Dai 001; Sarvnaz Karimi (EMNLP (Findings), 2024)

Identifying Health Risks from Family History: A Survey of Natural Language Processing Techniques. - Xiang Dai 001; Sarvnaz Karimi; Nathan O'Callaghan (CoRR, 2024)

Can AI Extract Antecedent Factors of Human Trust in AI? An Application of Information Extraction for Scientific Literature in Behavioural and Computer Sciences. - Melanie J. McGrath; Harrison Bailey; Necva Bölücü; Xiang Dai 001; Sarvnaz Karimi; Cécile Paris (CoRR, 2024)

An adaptive approach to noisy annotations in scientific information extraction. - Necva Bölücü; Maciej Rybinski; Xiang Dai 001; Stephen Wan 001 (Inf. Process. Manag., 2024)

MultiADE: A Multi-domain benchmark for Adverse Drug Event extraction. - Xiang Dai 001; Sarvnaz Karimi; Abeed Sarker; Ben Hachey; Cécile Paris (J. Biomed. Informatics, 2024)

Can VLMs Actually See and Read? A Survey on Modality Collapse in Vision-Language Models. - Mong Yuan Sim; Wei Emma Zhang; Xiang Dai 001; Biaoyan Fang (ACL (Findings), 2025)

Proceedings of the First Workshop of Evaluation of Multi-Modal Generation. - Wei Emma Zhang; Xiang Dai 001; Desmond Elliott; Byron Fang; Mong Yuan Sim; Haojie Zhuang; Weitong Chen (COLING Workshops, 2025)