Thinh Truong

School of Computing and Information Systems - The University of Melbourne.

prof_pic.jpg

Melbourne Connect

700 Swanston Street

Melbourne, VIC 3053

I am currently a Graduate Researcher belongs to the ARC Training Centre in Cognitive Computing for Medical Technologies (ITTC) and a PhD student at UniMelb supervised by Prof. Timothy Baldwin, Prof. Trevor Cohn, and Prof. Karin Verspoor. My work is mainly on NLP with the application to biomedical text.

Previous to that, I obtained my Bachelor from Ho Chi Minh City University of Science, then worked as a research intern at NII, and VinAI Research

I am originally from Ho Chi Minh City, Vietnam and my name written in the Vietnamese language is Trương Hưng Thịnh.

Please try Phở :ramen: if you still haven’t, promise it tastes good!

news

Jul 28, 2023 I gave a talk at Oracle Melbourne office.
May 15, 2023 Language models are not naysayers: an analysis of language models on negation benchmarks was accepted at *SEM 2023! (Paper). Updated: Beyond honored to be selected for Best paper award at *SEM 2023

Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations was accepted at ACL 2023! (Paper). Huge props to Lucy, Yulia, Jay, Bailey, Erin, and Byron.
Nov 20, 2022 Our work on a new test suite for negation in NLI was selected as the Runner up for best paper award at AACL-ICJNLP 2022! (Paper)
Sep 1, 2022 Paper on disfluency in SLU is accepted at Interspeech 2022. Congratulations to my old co-authors at VinAI Research!
Aug 5, 2022 A paper at SDP@COLING2022 - MSLR Shared Task.
Apr 7, 2022 Paper accepted at NAACL 2022!
May 4, 2021 Started my PhD at UniMelb.

selected publications

  1. Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation
    Truong, Thinh, Otmakhova, Yulia, Baldwin, Timothy, Cohn, Trevor, Verspoor, Karin, and Lau, Jey Han
    AACL-IJCNLP 2022
    arXiv
  2. Improving negation detection with negation-focused pre-training
    Truong, Thinh, Baldwin, Timothy, Cohn, Trevor, and Verspoor, Karin
    In NAACL-HLT 2022
    arXiv
  3. Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations
    Wang, Lucy Lu, Otmakhova, Yulia, DeYoung, Jay,  Truong, Thinh, Kuehl, Bailey E, Bransom, Erin, and Wallace, Byron C
    In ACL 2023
    arXiv
  4. Language models are not naysayers: An analysis of language models on negation benchmarks
    Truong, Thinh, Baldwin, Timothy, Verspoor, Karin, and Cohn, Trevor
    *SEM 2023
    arXiv