Xiang Dai

42 papers A* 1A 1B 1Misc 1Journal 19Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Predicting patient returns due to complications and recommending follow-up appointments after a dental extraction using machine learning.
Discov. Artif. Intell.
Farhana Pethani, Jonathan K. Kummerfeld, Xiang Dai, Mike Conway, Albert Yaacoub, Sarvnaz Karimi, Heiko Spallek, Adam G. Dunn
2025 — conf
Can VLMs Actually See and Read? A Survey on Modality Collapse in Vision-Language Models.
ACL (Findings)
Mong Yuan Sim, Wei Emma Zhang, Xiang Dai, Biaoyan Fang
2025 — conf
Proceedings of the First Workshop of Evaluation of Multi-Modal Generation.
COLING Workshops
Wei Emma Zhang, Xiang Dai, Desmond Elliott, Byron Fang, Mong Yuan Sim, Haojie Zhuang, Weitong Chen
2025 — conf
The More, The Better? A Critical Study of Multimodal Context in Radiology Report Summarization.
EMNLP (Findings)
Mong Yuan Sim, Wei Emma Zhang, Xiang Dai, Biaoyan Fang, Sarbin Ranjitkar, Arjun Burlakoti, Jamie Taylor, Haojie Zhuang
2024 — conf
A Critical Look at Meta-evaluating Summarisation Evaluation Metrics.
EMNLP (Findings)
Xiang Dai, Sarvnaz Karimi, Biaoyan Fang
2024 J jnl
A Critical Look at Meta-evaluating Summarisation Evaluation Metrics.
CoRR
Xiang Dai, Sarvnaz Karimi, Biaoyan Fang
2024 J jnl
An adaptive approach to noisy annotations in scientific information extraction.
Inf. Process. Manag.
Necva Bölücü, Maciej Rybinski, Xiang Dai, Stephen Wan
2024 — conf
Born Differently Makes a Difference: Counterfactual Study of Bias in Biography Generation from a Data-to-Text Perspective.
ACL (Short Papers)
Biaoyan Fang, Ritvik Dinesh, Xiang Dai, Sarvnaz Karimi
2024 J jnl
Can AI Extract Antecedent Factors of Human Trust in AI? An Application of Information Extraction for Scientific Literature in Behavioural and Computer Sciences.
CoRR
Melanie J. McGrath, Harrison Bailey, Necva Bölücü, Xiang Dai, Sarvnaz Karimi, Cécile Paris
2024 J jnl
Identifying Health Risks from Family History: A Survey of Natural Language Processing Techniques.
CoRR
Xiang Dai, Sarvnaz Karimi, Nathan O'Callaghan
2024 J jnl
MultiADE: A Multi-domain Benchmark for Adverse Drug Event Extraction.
CoRR
Xiang Dai, Sarvnaz Karimi, Abeed Sarker, Ben Hachey, Cécile Paris
2024 J jnl
MultiADE: A Multi-domain benchmark for Adverse Drug Event extraction.
J. Biomed. Informatics
Xiang Dai, Sarvnaz Karimi, Abeed Sarker, Ben Hachey, Cécile Paris
2024 — conf
Understanding Faithfulness and Reasoning of Large Language Models on Plain Biomedical Summaries.
EMNLP (Findings)
Biaoyan Fang, Xiang Dai, Sarvnaz Karimi
2023 — conf
CSIRO Data61 Team at BioLaySumm Task 1: Lay Summarisation of Biomedical Research Articles Using Generative Models.
BioNLP@ACL
Mong Yuan Sim, Xiang Dai, Maciej Rybinski, Sarvnaz Karimi
2023 — conf
Can Social Media Inform Dietary Approaches for Health Management? A Dataset and Benchmark for Low-Carb Diet.
BioNLP@ACL
Skyler Zou, Xiang Dai, Grant Brinkworth, Pennie Taylor, Sarvnaz Karimi
2023 J jnl
Clinician-Facing AI in the Wild: Taking Stock of the Sociotechnical Challenges and Opportunities for HCI.
ACM Trans. Comput. Hum. Interact.
Hubert Dariusz Zajac, Dana Li, Xiang Dai, Jonathan Frederik Carlsen, Finn Kensing, Tariq O. Andersen
2023 — conf
MultiFin: A Dataset for Multilingual Financial NLP.
EACL (Findings)
Rasmus Kær Jørgensen, Oliver Brandt, Mareike Hartmann, Xiang Dai, Christian Igel, Desmond Elliott
2023 — conf
Rethinking the Role of Entity Type in Relation Classification.
IJCNLP (1)
Xiang Dai, Sarvnaz Karimi, Stephen Wan
2022 J jnl
An Exploration of Hierarchical Attention Transformers for Efficient Long Document Classification.
CoRR
Ilias Chalkidis, Xiang Dai, Manos Fergadiotis, Prodromos Malakasiotis, Desmond Elliott
2022 J jnl
Detecting Entities in the Astrophysics Literature: A Comparison of Word-based and Span-based Entity Recognition Methods.
CoRR
Xiang Dai, Sarvnaz Karimi
2022 — conf
Revisiting Transformer-based Models for Long Document Classification.
EMNLP (Findings)
Xiang Dai, Ilias Chalkidis, Sune Darkner, Desmond Elliott
2022 J jnl
Revisiting Transformer-based Models for Long Document Classification.
CoRR
Xiang Dai, Ilias Chalkidis, Sune Darkner, Desmond Elliott
2021 J jnl
MDAPT: Multilingual Domain Adaptive Pretraining in a Single Model.
CoRR
Rasmus Kær Jørgensen, Mareike Hartmann, Xiang Dai, Desmond Elliott
2021 J jnl
Recognising Biomedical Names: Challenges and Solutions.
CoRR
Xiang Dai
2021 A conf
SearchEHR: A Family History Search System for Clinical Decision Support.
CIKM
Xiang Dai, Maciej Rybinski, Sarvnaz Karimi
2021 — conf
mDAPT: Multilingual Domain Adaptive Pretraining in a Single Model.
EMNLP (Findings)
Rasmus Kær Jørgensen, Mareike Hartmann, Xiang Dai, Desmond Elliott
2020 B conf
An Analysis of Simple Data Augmentation for Named Entity Recognition.
COLING
Xiang Dai, Heike Adel
2020 J jnl
An Analysis of Simple Data Augmentation for Named Entity Recognition.
CoRR
Xiang Dai, Heike Adel
2020 A* conf
An Effective Transition-based Model for Discontinuous NER.
ACL
Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris
2020 J jnl
An Effective Transition-based Model for Discontinuous NER.
CoRR
Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris
2020 — conf
Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media.
EMNLP (Findings)
Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris
2020 J jnl
Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media.
CoRR
Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris
2020 — conf
NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction.
IberLEF@SEPLN
Lukas Lange, Xiang Dai, Heike Adel, Jannik Strötgen
2020 J jnl
NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction.
CoRR
Lukas Lange, Xiang Dai, Heike Adel, Jannik Strötgen
2019 — conf
NNE: A Dataset for Nested Named Entity Recognition in English Newswire.
ACL (1)
Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cécile Paris, James R. Curran
2019 J jnl
NNE: A Dataset for Nested Named Entity Recognition in English Newswire.
CoRR
Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cécile Paris, James R. Curran
2019 — conf
Using Similarity Measures to Select Pretraining Data for NER.
NAACL-HLT (1)
Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris
2019 J jnl
Using Similarity Measures to Select Pretraining Data for NER.
CoRR
Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris
2018 — conf
Recognizing Complex Entity Mentions: A Review and Future Directions.
ACL (3)
Xiang Dai
2018 — conf
Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection.
SMM4H@EMNLP
Aditya Joshi, Xiang Dai, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre
2017 — conf
Automatic Diagnosis Coding of Radiology Reports: A Comparison of Deep Learning and Conventional Classification Methods.
BioNLP
Sarvnaz Karimi, Xiang Dai, Hamed Hassanzadeh, Anthony N. Nguyen
2017 Misc conf
Medication and Adverse Event Extraction from Noisy Text.
ALTA
Xiang Dai, Sarvnaz Karimi, Cécile Paris