activity
20202022
most citedCOVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research

12 citations · 17 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2022

Improving negation detection with negation-focused pre-training

Thinh Hung Truong, Timothy Baldwin, Trevor Cohn +1

Negation is a common linguistic feature that is crucial in many language understanding tasks, yet it remains a hard problem due to diversity in its expression in different types of…

cs.CL20224 cited

ITTC @ TREC 2021 Clinical Trials Track

Thinh Hung Truong, Yulia Otmakhova, Rahmad Mahendra +6

This paper describes the submissions of the Natural Language Processing (NLP) team from the Australian Research Council Industrial Transformation Training Centre (ITTC) for Cogniti…

cs.CL20211 cited

Memorization vs. Generalization: Quantifying Data Leakage in NLP Performance Evaluation

Aparna Elangovan, Jiayuan He, Karin Verspoor

Public datasets are often used to evaluate the efficacy and generalizability of state-of-the-art methods for many tasks in natural language processing (NLP). However, the presence…

cs.CL202012 cited

COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research

Karin Verspoor, Simon Šuster, Yulia Otmakhova +7

We present COVID-SEE, a system for medical literature discovery based on the concept of information exploration, which builds on several distinct text analysis and natural language…

cs.CL2020

WikiUMLS: Aligning UMLS to Wikipedia via Cross-lingual Neural Ranking

Afshin Rahimi, Timothy Baldwin, Karin Verspoor

We present our work on aligning the Unified Medical Language System (UMLS) to Wikipedia, to facilitate manual alignment of the two resources. We propose a cross-lingual neural rera…