Publications

C: Conference; J: Journal; W: Workshop; S: Shared task; P: Preprint

2025

[J5] Extracting social determinants of health from dental clinical notes

Farhana Pethani, Alec Chapman, Mike Conway, Xiang Dai, Demiana Bishay, Victor Choh, Alexander He, Su-Elle Lim, Huey Ying Ng, Tanya Mahony, Albert Yaacoub, Sarvnaz Karimi, Heiko Spallek, Adam G Dunn
Applied Clinical Informatics. 2025.

[C14] Can VLMs Actually See and Read? A Survey on Modality Collapse in Vision-Language Models

Mong Yuan Sim, Wei Emma Zhang, Xiang Dai and Biaoyan Fang
Findings of the Association for Computational Linguistics: ACL 2025.

[P4] GeneWhisperer: Enhancing manual genome annotation with large language models

Xiaomei Li, Alex P Whan, Meredith McNeil, Samuel C Andrew, Xiang Dai, Madeline Fechner, Cecile Paris, Rad Suchecki

2024

[P3] Can AI Extract Antecedent Factors of Human Trust in AI? An Application of Information Extraction for Scientific Literature in Behavioural and Computer Sciences

Melanie McGrath, Harrison Bailey, Necva Bölücü, Xiang Dai, Sarvnaz Karimi, Cecile Paris

[J4] MultiADE: A Multi-domain Benchmark for Adverse Drug Event Extraction

Xiang Dai, Sarvnaz Karimi, Abeed Sarker, Ben Hachey and Cecile Paris
Journal of Biomedical Informatics. 2024.

[C13] A Critical Look at Meta-evaluating Summarization Evaluation Metrics

Xiang Dai, Sarvnaz Karimi and Biaoyan Fang
Findings of the Association for Computational Linguistics: EMNLP 2024.

[C12] Understanding Faithfulness and Reasoning of Large Language Models on Plain Biomedical Summaries

Biaoyan Fang, Xiang Dai and Sarvnaz Karimi
Findings of the Association for Computational Linguistics: EMNLP 2024.

[J3] An Adaptive Approach to Noisy Annotations in Scientific Information Extraction

Necva Bölücü, Maciej Rybinski, Xiang Dai and Stephen Wan
Information Processing & Management. 2024.

[C11] Born Differently Makes a Difference: Counterfactual Study of Bias in Biography Generation from a Data-to-Text Perspective

Biaoyan Fang, Ritvik Dinesh, Xiang Dai and Sarvnaz Karimi
The Annual Meeting of the Association for Computational Linguistics (ACL 2024).

[P2] Identifying Health Risks from Family History: A Survey of Natural Language Processing Techniques

Xiang Dai, Sarvnaz Karimi and Nathan O'Callaghan

[S5] Exploring Instructive Prompts for Large Language Models in the Extraction of Evidence for Supporting Assigned Suicidal Risk Levels

Jiyu Chen, Vincent Nguyen, Xiang Dai, Diego Molla-Aliod, Cecile Paris and Sarvnaz Karimi
EACL Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2024).

2023

[C10] Rethinking the Role of Entity Type in Relation Classification

Xiang Dai, Sarvnaz Karimi and Stephen Wan
The 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL-IJCNLP 2023).

[S4] CSIRO Data61 Team at BioLaySumm Task 1: Lay Summarisation of Biomedical Research Articles Using Generative Models

Mong Yuan Sim, Xiang Dai, Maciej Rybinski and Sarvnaz Karimi
ACL Workshop on Biomedical Natural Language Processing (BioNLP 2023). Code, Poster, Bibtex.

[W4] Can Social Media Inform Dietary Approaches for Health Management? A Dataset and Benchmark for Low-Carb Diet

Skyler Zou, Xiang Dai, Sarvnaz Karimi, Pennie Taylor and Grant Brinkworth
ACL Workshop on Biomedical Natural Language Processing (BioNLP 2023). Poster, Bibtex.

[C9] MultiFin: A Dataset for Multilingual Financial NLP

Rasmus Kær Jørgensen, Oliver Brandt, Mareike Hartmann, Xiang Dai, Christian Igel and Desmond Elliott
Findings of the Association for Computational Linguistics: EACL 2023. Bibtex.

[J2] Clinician-facing AI in the Wild: Taking Stock of the Sociotechnical Challenges and Opportunities for HCI

Hubert D. Zając, Dana Li, Xiang Dai, Jonathan F. Carlsen, Finn Kensing and Tariq Q. Andersen
ACM Transactions on Computer-Human Interaction. 2023.

2022

[S3] Detecting Entities in the Astrophysics Literature: A Comparison of Word-based and Span-based Entity Recognition Methods

Xiang Dai and Sarvnaz Karimi
AACL-IJCNLP Workshop on Information Extraction from Scientific Publications (WIESP 2022). Talk, Poster, Bibtex.

[P1] An Exploration of Hierarchical Attention Transformers for Efficient Long Document Classification

Ilias Chalkidis, Xiang Dai, Manos Fergadiotis, Prodromos Malakasiotis and Desmond Elliott

[C8] Revisiting Transformer-based Models for Long Document Classification

Xiang Dai, Ilias Chalkidis, Sune Darkner and Desmond Elliott
Findings of the Association for Computational Linguistics: EMNLP 2022. Bibtex.

2021

[PhD thesis] Recognising Biomedical Names: Challenges and Solutions

Xiang Dai
University of Sydney, 2021.

[C7] mDAPT: Multilingual Domain Adaptive Pretraining in a Single Model

Rasmus Kær Jørgensen, Mareike Hartmann, Xiang Dai and Desmond Elliott
Findings of the Association for Computational Linguistics: EMNLP 2021. Bibtex

[C6] SearchEHR: A Family History Search System for Clinical Decision Support

Xiang Dai, Maciej Rybinski and Sarvnaz Karimi
International Conference on Information and Knowledge Management (CIKM 2021).

[J1] Extracting Family History Information From Electronic Health Records: Natural Language Processing Analysis

Maciej Rybinski, Xiang Dai, Sonit Singh, Sarvnaz Karimi and Anthony Nguyen
JMIR Medical Informatics. 2021.

2020

[C5] An Analysis of Simple Data Augmentation for Named Entity Recognition

Xiang Dai and Heike Adel
International Conference on Computational Linguistics (COLING 2020). Code, Bibtex, Poster.

[C4] Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media

Xiang Dai, Sarvnaz Karimi, Ben Hachey and Cecile Paris
Findings of the Association for Computational Linguistics: EMNLP 2020. Resources, Bibtex.

[S2] NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction

Lukas Lange, Xiang Dai, Heike Adel, Jannik Strötgen
Iberian Languages Evaluation Forum (IberLEF 2020).

[C3] An Effective Transition-based Model for Discontinuous NER

Xiang Dai, Sarvnaz Karimi, Ben Hachey and Cecile Paris
The Annual Meeting of the Association for Computational Linguistics (ACL 2020). Code, Talk, Bibtex.

2019

[C2] NNE: A Dataset for Nested Named Entity Recognition in English Newswire

Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cecile Paris and James R. Curran
The Annual Meeting of the Association for Computational Linguistics (ACL 2019). Resources, Poster, Bibtex.

[C1] Using Similarity Measures to Select Pretraining Data for NER

Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cecile Paris
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2019). Slides, Poster, Resources, Code, Bibtex.

2018

[S1] Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection

Aditya Joshi, Xiang Dai, Sarvnaz Karimi, Ross Sparks, Cecile Paris, C Raina MacIntyre
EMNLP Workshop on Social Media Mining for Health Applications (SMM4H 2018). Bibtex.

[W3] Recognizing Complex Entity Mentions: A Review and Future Directions

Xiang Dai
ACL Student Research Workshop (ACL-SRW 2018). Poster, Bibtex.

2017

[W2] Medication and Adverse Event Extraction from Noisy Text

Xiang Dai, Sarvnaz Karimi, Cecile Paris
Australasian Language Technology Association Workshop (ALTA 2017). Slides, Bibtex.

[W1] Automatic Diagnosis Coding of Radiology Reports: A Comparison of Deep Learning and Conventional Classification Methods

Sarvnaz Karimi, Xiang Dai, Hamed Hassanzadeh, Anthony Nguyen
ACL Workshop on Biomedical Natural Language Processing (BioNLP 2017). Poster, Bibtex.