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Found 12 papers, 3 papers with code
Demonstrating the Reliability of Self-Annotated Emotion Data
Vent is a specialised iOS/Android social media platform with the stated goal to encourage people to post about their feelings and explicitly label them.
The Construction and Evaluation of the LEAFTOP Dataset of Automatically Extracted Nouns in 1480 Languages
The claims to novelty are: the use of a Koine Greek New Testament as the source language; using a fully-annotated manually-created grammatically parse of the source text; a custom scraper for texts in the target languages; a new metric for language similarity; a novel strategy for evaluation on low-resource languages.
Query Focused Multi-document Summarisation of Biomedical Texts
This paper presents the participation of Macquarie University and the Australian National University for Task B Phase B of the 2020 BioASQ Challenge (BioASQ8b).
Query Focused Multi-document Summarisation of Biomedical Texts: Macquarie Universiy and the Australian National University at BioASQ8b
This paper presents the participation of Macquarie University and the Australian National University for Task B Phase B of the 2020 BioASQ Challenge (BioASQ8b).
Classification Betters Regression in Query-based Multi-document Summarisation Techniques for Question Answering: Macquarie University at BioASQ7b
Task B Phase B of the 2019 BioASQ challenge focuses on biomedical question answering.
Overview of the 2019 ALTA Shared Task: Sarcasm Target Identification
We present an overview of the 2019 ALTA shared task.
Towards the Use of Deep Reinforcement Learning with Global Policy For Query-based Extractive Summarisation
Supervised approaches for text summarisation suffer from the problem of mismatch between the target labels/scores of individual sentences and the evaluation score of the final summary.
Automated text summarisation and evidence-based medicine: A survey of two domains
We envision that this survey will serve as a first resource for the development of future operational text summarisation techniques for EBM.
