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
--
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.
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