Handling Variance of Pretrained Language Models in Grading Evidence in the Medical Literature

no code implementations • ALTA 2021 • Fajri Koto, Biaoyan Fang

In this paper, we investigate the utility of modern pretrained language models for the evidence grading system in the medical literature based on the ALTA 2021 shared task.

What does it take to bake a cake? The RecipeRef corpus and anaphora resolution in procedural text

1 code implementation • Findings (ACL) 2022 • Biaoyan Fang, Timothy Baldwin, Karin Verspoor

Procedural text contains rich anaphoric phenomena, yet has not received much attention in NLP.

Transfer Learning

ChEMU-Ref: A Corpus for Modeling Anaphora Resolution in the Chemical Domain

1 code implementation • EACL 2021 • Biaoyan Fang, Christian Druckenbrodt, Saber A Akhondi, Jiayuan He, Timothy Baldwin, Karin Verspoor

Chemical patents contain rich coreference and bridging links, which are the target of this research.

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

no code implementations • 18 Aug 2020 • Karin Verspoor, Simon Šuster, Yulia Otmakhova, Shevon Mendis, Zenan Zhai, Biaoyan Fang, Jey Han Lau, Timothy Baldwin, Antonio Jimeno Yepes, David Martinez

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 processing methods to structure and organise information in publications, and augments search by providing a visual overview supporting exploration of a collection to identify key articles of interest.