ITTC @ TREC 2021 Clinical Trials Track

Hung Thinh Truong, Yulia Otmakhova, Rahmad Mahendra, Timothy Baldwin, Jey Han Lau, Trevor Cohn, Lawrence Cavedon, Damiano Spina, Karin Verspoor

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)


This paper describes the submissions of the Natural Language Processing (NLP) team from the Australian Research Council Industrial Transformation Training Centre (ITTC) for Cognitive Computing in Medical Technologies to the TREC 2021 Clinical Trials Track. The task focuses on the problem of matching eligible clinical trials to topics constituting a summary of a patient's admission notes. We explore different ways of representing trials and topics using NLP techniques, and then use a common retrieval model to generate the ranked list of relevant trials for each topic. The results from all our submitted runs are well above the median scores for all topics, but there is still plenty of scope for improvement.

Original languageEnglish
Publication statusPublished - 2021
Event30th Text REtrieval Conference, TREC 2021 - Virtual, Online, United States
Duration: 15 Nov 202119 Nov 2021


Conference30th Text REtrieval Conference, TREC 2021
Country/TerritoryUnited States
CityVirtual, Online


Dive into the research topics of 'ITTC @ TREC 2021 Clinical Trials Track'. Together they form a unique fingerprint.

Cite this