CALL FOR PARTICIPATION
http://www.alta.asn.au/events/sharedtask2022
The Australasian Language Technology Association (ALTA) is organising a programming competition for university undergraduate and postgraduate students.
Following on the series of shared tasks by ALTA since 2010, all participants compete to solve the same problem. The problem highlights an active area of research and programming in the area of language technology.
This year's shared task is a re-visit of the 2012 task: PIBOSO Sentence Classification - 10 years later.
The goal of this task is to build automatic sentence classifiers that can map the content of biomedical abstracts into a set of pre-defined categories, which are used for Evidence-Based Medicine (EBM). EBM practitioners rely on specific criteria when judging whether a scientific article is relevant to a given question. They generally follow the PICO criterion: Population (P) (i.e., participants in a study); Intervention (I); Comparison (C) (if appropriate); and Outcome (O) (of an Intervention). Variations and extensions of this classification have been proposed, and for this task we will extend PICO by adding the classes Background (B) and Study Design (S); and including sentences that have no relevant content: Other (O). Therefore, the goal will be to classify the provided sentences according to the PIBOSO schema. Such information could be leveraged in various ways: e.g., to improve search performance; to enable structured querying with specific categories; and to aid users in more quickly making judgements against specified PICOSO criteria.
The tentative key dates are:
- Right Now - Registration and release of training and development data - 04 Oct 2022 - Release of test data - 11 Oct 2022 - Deadline of submission of runs - 14 Oct 2022 - Notification of results - 10 Nov 2022 - Deadline of submission of system description - 15-16 Dec 2022 - Presentation of results at ALTA 2022
Details of the task and registration are available at the competition website (http://www.alta.asn.au/events/sharedtask2022).
Good luck!
Diego Molla-Aliod
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Dr. Diego Mollá-Aliod
Senior Lecturer
School of Computing | Room 358 (Level 3), 4 Research Park Drive Macquarie University, NSW 2109, Australia
T: +61 2 9850 9531 | F: +61 2 9850 9551 https://macquarie.zoom.us/my/diego.molla http://comp.mq.edu.au/~diego
I acknowledge the traditional custodians of the land on which Macquarie University stands – the Wallumattagal clan of the Dharug nation – whose cultures and customs have nurtured and continue to nurture this land since time immemorial. I pay my respects to Elders past and present.