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Found 8 papers, 3 papers with code
Overview of the 2020 ALTA Shared Task: Assess Human Behaviour
The 2020 ALTA shared task is the 11th in stance of a series of shared tasks organised by ALTA since 2010.
Overview of the 2021 ALTA Shared Task: Automatic Grading of Evidence, 10 years later
The 2021 ALTA shared task is the 12th instance of a series of shared tasks organised by ALTA since 2010.
Large Language Models and Prompt Engineering for Biomedical Query Focused Multi-Document Summarisation
This paper reports on the use of prompt engineering and GPT-3. 5 for biomedical query-focused multi-document summarisation.
Query-focused Extractive Summarisation for Biomedical and COVID-19 Complex Question Answering
For the Synergy task, we selected the candidate sentences following two phases: document retrieval and snippet retrieval, and the final answer was found by using a DistilBERT/ALBERT classifier that had been trained on the training data of BioASQ9b.
Transformer-based Language Models for Factoid Question Answering at BioASQ9b
In this work, we describe our experiments and participating systems in the BioASQ Task 9b Phase B challenge of biomedical question answering.
Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 Questions
For phase B of the BioASQ9b task, the relevant documents and snippets were already included in the test data.
Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data
The automation of text summarisation of biomedical publications is a pressing need due to the plethora of information available on-line.
Macquarie University at BioASQ 6b: Deep learning and deep reinforcement learning for query-based multi-document summarisation
The reinforcement learning approach was a proof-of-concept prototype that trained a global policy using REINFORCE.
