no code implementations • ALTA 2020 • Pradeesh Parameswaran, Andrew Trotman, Veronica Liesaputra, David Eyers
We describe our method for classifying short texts into the APPRAISAL framework, work we conducted as part of the ALTA 2020 shared task.
no code implementations • ALTA 2021 • Pradeesh Parameswaran, Andrew Trotman, Veronica Liesaputra, David Eyers
We evaluated our model on the data set provided by ALTA (Reddit) and two additional data sets: ‘book snippets’ and ‘Tweets’.
1 code implementation • ALTA 2021 • Pradeesh Parameswaran, Andrew Trotman, Veronica Liesaputra, David Eyers
We describe our methods for automatically grading the level of clinical evidence in medical papers, as part of the ALTA 2021 shared task.
no code implementations • COLING 2022 • Pradeesh Parameswaran, Andrew Trotman, Veronica Liesaputra, David Eyers
Our empirical evidence suggests that at present, automating classification is practical only when considering coarse-level categories of the taxonomy.
no code implementations • 22 Oct 2021 • Joel Mackenzie, Andrew Trotman, Jimmy Lin
Recent advances in retrieval models based on learned sparse representations generated by transformers have led us to, once again, consider score-at-a-time query evaluation techniques for the top-k retrieval problem.
2 code implementations • 18 Mar 2020 • Jimmy Lin, Joel Mackenzie, Chris Kamphuis, Craig Macdonald, Antonio Mallia, Michał Siedlaczek, Andrew Trotman, Arjen de Vries
There exists a natural tension between encouraging a diverse ecosystem of open-source search engines and supporting fair, replicable comparisons across those systems.
no code implementations • 27 Dec 2019 • Jon Degenhardt, Surya Kallumadi, Utkarsh Porwal, Andrew Trotman
The SIGIR 2019 Workshop on eCommerce (ECOM19), was a full day workshop that took place on Thursday, July 25, 2019 in Paris, France.
no code implementations • ALTA 2019 • Pradeesh Parameswaran, Andrew Trotman, Veronica Liesaputra, David Eyers
We describe our methods in trying to detect the target of sarcasm as part of ALTA 2019 shared task.