Xiang Dai (戴翔)

[CV]     [Publications]

I am currently a research scientist at CSIRO Data61. Previously, I received my PhD degree at University of Sydney under the supervision of Sarvnaz Karimi, Ben Hachey, and Cecile Paris. After that, I was a Postdoc at University of Copenhagen, working with Desmond Elliott.

My research interests lie in natural language processing, deep learning, and digital health. Some topics I focus on include:

• extracting entities and their relations from the unstructured text [ACL 19, 20, COLING 20];
• pre-training domain-specific language representation models [NAACL 19; EMNLP 20, 21];
• building document-level models that can handle long sequence inputs [EMNLP 22; arXiv 22];
• applying NLP techniques to the medical domain [JMIR 21; CIKM 21; TOCHI 23].

I look like this.

News

• 2023-09: Our team has two PhD full scholarships available. Applications due by 27 November.
• 2023-09: We had a paper titled 'Rethinking the Role of Entity Type in Relation Classification' accepted to IJCNLP-AACL 2023.
• 2023-05: I am going to become a research scientist at CSIRO Data61, starting from Aug-2023.
• 2023-01: We had a paper titled 'MultiFin: A Dataset for Multilingual Financial NLP' accepted to Findings of EACL 2023.
• 2022-11: We had a paper titled 'Clinician-facing AI in the Wild: Taking Stock of the Sociotechnical Challenges and Opportunities for HCI' accepted to ACM Transactions on Computer-Human Interaction.
• 2022-10: We had a paper titled 'Revisiting Transformer-based Models for Long Document Classification' accepted to Findings of EMNLP 2022.
• (more)

Email

dai (dot) xiang (dot) au (at) gmail.com

dai (dot) dai (at) csiro.au

Calendar

Also, you can find me from , Google scholar, Semantic scholar.