10.29007/wl4b
https://zenodo.org/records/3923531
oai:zenodo.org:3923531
Nicos Isaak
Nicos Isaak
Open University of Cyprus
Loizos Michael
Loizos Michael
Open University of Cyprus & Research Center on Interactive Media, Smart Systems, and Emerging Technologies
WinoReg: A New Faster and More Accurate Metric of Hardness for Winograd Schemas
Zenodo
2020
2020-04-27
eng
https://zenodo.org/communities/rise-teaming-cyprus
https://zenodo.org/communities/eu
Accepted pre-print
Creative Commons Attribution Non Commercial No Derivatives 4.0 International
The Winograd Schema Challenge (WSC), the task of resolving pronouns in certain carefully-structured sentences, has received considerable interest in the past few years as an alternative to the Turing Test. In our recent work we demonstrated the plausibility of
using commonsense knowledge, automatically acquired from raw text in English Wikipedia, towards computing a metric of hardness for a limited number of Winograd Schemas. In this work we present WinoReg, a new system to compute hardness of Winograd
Schemas, by training a Random Forest classier over a rich set of features identied in relevant WSC works in the literature. Our empirical study shows that this new system is considerably faster and more accurate compared to the system proposed in our earlier
work, making its use as part of other WSC-based systems feasible.
This work has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 739578 and under Grant Agreement No 823783 and the Government of the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development.
European Commission
10.13039/501100000780
823783
WeNet - The Internet of US
European Commission
10.13039/501100000780
739578
Research Center on Interactive Media, Smart System and Emerging Technologies