most citedTransformers and the representation of biomedical background knowledge

19 citations · 23 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IR2022

COV19IR : COVID-19 Domain Literature Information Retrieval

Arusarka Bose, Zili Zhou, Guandong Xu

Increasing number of COVID-19 research literatures cause new challenges in effective literature screening and COVID-19 domain knowledge aware Information Retrieval. To tackle the c…

cs.CL2022★ 1 cited

Active entailment encoding for explanation tree construction using parsimonious generation of hard negatives

Alex Bogatu, Zili Zhou, Dónal Landers +1

Entailment trees have been proposed to simulate the human reasoning process of explanation generation in the context of open--domain textual question answering. However, in practic…

cs.CL2022★ 19 cited

Transformers and the representation of biomedical background knowledge

Oskar Wysocki, Zili Zhou, Paul O'Regan +4

Specialised transformers-based models (such as BioBERT and BioMegatron) are adapted for the biomedical domain based on publicly available biomedical corpora. As such, they have the…

cs.CL2022

PhysNLU: A Language Resource for Evaluating Natural Language Understanding and Explanation Coherence in Physics

Jordan Meadows, Zili Zhou, Andre Freitas

In order for language models to aid physics research, they must first encode representations of mathematical and natural language discourse which lead to coherent explanations, wit…

cs.CL2021★ 3 cited

Encoding Explanatory Knowledge for Zero-shot Science Question Answering

Zili Zhou, Marco Valentino, Donal Landers +1

This paper describes N-XKT (Neural encoding based on eXplanatory Knowledge Transfer), a novel method for the automatic transfer of explanatory knowledge through neural encoding mec…