Xiang Dai

According to our database, Xiang Dai authored at least 30 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Proceedings of the First Workshop of Evaluation of Multi-Modal Generation.

Wei Emma Zhang, Xiang Dai, Desmond Elliott, Byron Fang, Mong Yuan Sim, Haojie Zhuang, Weitong Chen

Proceedings of the 31st International Conference on Computational Linguistics, 2025

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

Mong Yuan Sim, Wei Emma Zhang, Xiang Dai, Biaoyan Fang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

MultiADE: A Multi-domain benchmark for Adverse Drug Event extraction.

Xiang Dai, Sarvnaz Karimi, Abeed Sarker, Ben Hachey, Cécile Paris

J. Biomed. Informatics, 2024

An adaptive approach to noisy annotations in scientific information extraction.

Necva Bölücü, Maciej Rybinski, Xiang Dai, Stephen Wan

Inf. Process. Manag., 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, Sarvnaz Karimi, Cécile Paris

CoRR, 2024

Identifying Health Risks from Family History: A Survey of Natural Language Processing Techniques.

Xiang Dai, Sarvnaz Karimi, Nathan O'Callaghan

CoRR, 2024

Understanding Faithfulness and Reasoning of Large Language Models on Plain Biomedical Summaries.

Biaoyan Fang, Xiang Dai, Sarvnaz Karimi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

A Critical Look at Meta-evaluating Summarisation Evaluation Metrics.

Xiang Dai, Sarvnaz Karimi, Biaoyan Fang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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

Biaoyan Fang, Ritvik Dinesh, Xiang Dai, Sarvnaz Karimi

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Clinician-Facing AI in the Wild: Taking Stock of the Sociotechnical Challenges and Opportunities for HCI.

Hubert Dariusz Zajac, Dana Li, Xiang Dai, Jonathan Frederik Carlsen, Finn Kensing, Tariq O. Andersen

ACM Trans. Comput. Hum. Interact., April, 2023

Rethinking the Role of Entity Type in Relation Classification.

Xiang Dai, Sarvnaz Karimi, Stephen Wan

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

MultiFin: A Dataset for Multilingual Financial NLP.

Rasmus Kær Jørgensen, Oliver Brandt, Mareike Hartmann, Xiang Dai, Christian Igel, Desmond Elliott

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

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

Skyler Zou, Xiang Dai, Grant Brinkworth, Pennie Taylor, Sarvnaz Karimi

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

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

Mong Yuan Sim, Xiang Dai, Maciej Rybinski, Sarvnaz Karimi

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022

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

Xiang Dai, Sarvnaz Karimi

CoRR, 2022

An Exploration of Hierarchical Attention Transformers for Efficient Long Document Classification.

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

CoRR, 2022

Revisiting Transformer-based Models for Long Document Classification.

Xiang Dai, Ilias Chalkidis, Sune Darkner, Desmond Elliott

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Recognising Biomedical Names: Challenges and Solutions.

Xiang Dai

CoRR, 2021

mDAPT: Multilingual Domain Adaptive Pretraining in a Single Model.

Rasmus Kær Jørgensen, Mareike Hartmann, Xiang Dai, Desmond Elliott

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

SearchEHR: A Family History Search System for Clinical Decision Support.

Xiang Dai, Maciej Rybinski, Sarvnaz Karimi

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction.

Lukas Lange, Xiang Dai, Heike Adel, Jannik Strötgen

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020) co-located with 36th Conference of the Spanish Society for Natural Language Processing (SEPLN 2020), 2020

Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media.

Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

An Analysis of Simple Data Augmentation for Named Entity Recognition.

Xiang Dai, Heike Adel

Proceedings of the 28th International Conference on Computational Linguistics, 2020

An Effective Transition-based Model for Discontinuous NER.

Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Using Similarity Measures to Select Pretraining Data for NER.

Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

NNE: A Dataset for Nested Named Entity Recognition in English Newswire.

Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cécile Paris, James R. Curran

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection.

Aditya Joshi, Xiang Dai, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre

Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, 2018

Recognizing Complex Entity Mentions: A Review and Future Directions.

Xiang Dai

Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Student Research Workshop, 2018

2017

Automatic Diagnosis Coding of Radiology Reports: A Comparison of Deep Learning and Conventional Classification Methods.

Sarvnaz Karimi, Xiang Dai, Hamed Hassanzadeh, Anthony N. Nguyen

Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017

Medication and Adverse Event Extraction from Noisy Text.

Xiang Dai, Sarvnaz Karimi, Cécile Paris

Proceedings of the Australasian Language Technology Association Workshop, 2017