@inproceedings{kulmizev-etal-2018-discriminator,
title = "Discriminator at {S}em{E}val-2018 Task 10: Minimally Supervised Discrimination",
author = "Kulmizev, Artur and
Abdou, Mostafa and
Ravishankar, Vinit and
Nissim, Malvina",
editor = "Apidianaki, Marianna and
Mohammad, Saif M. and
May, Jonathan and
Shutova, Ekaterina and
Bethard, Steven and
Carpuat, Marine",
booktitle = "Proceedings of the 12th International Workshop on Semantic Evaluation",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S18-1167",
doi = "10.18653/v1/S18-1167",
pages = "1008--1012",
abstract = "We participated to the SemEval-2018 shared task on capturing discriminative attributes (Task 10) with a simple system that ranked 8th amongst the 26 teams that took part in the evaluation. Our final score was 0.67, which is competitive with the winning score of 0.75, particularly given that our system is a zero-shot system that requires no training and minimal parameter optimisation. In addition to describing the submitted system, and discussing the implications of the relative success of such a system on this task, we also report on other, more complex models we experimented with.",
}
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<abstract>We participated to the SemEval-2018 shared task on capturing discriminative attributes (Task 10) with a simple system that ranked 8th amongst the 26 teams that took part in the evaluation. Our final score was 0.67, which is competitive with the winning score of 0.75, particularly given that our system is a zero-shot system that requires no training and minimal parameter optimisation. In addition to describing the submitted system, and discussing the implications of the relative success of such a system on this task, we also report on other, more complex models we experimented with.</abstract>
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%0 Conference Proceedings
%T Discriminator at SemEval-2018 Task 10: Minimally Supervised Discrimination
%A Kulmizev, Artur
%A Abdou, Mostafa
%A Ravishankar, Vinit
%A Nissim, Malvina
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y May, Jonathan
%Y Shutova, Ekaterina
%Y Bethard, Steven
%Y Carpuat, Marine
%S Proceedings of the 12th International Workshop on Semantic Evaluation
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F kulmizev-etal-2018-discriminator
%X We participated to the SemEval-2018 shared task on capturing discriminative attributes (Task 10) with a simple system that ranked 8th amongst the 26 teams that took part in the evaluation. Our final score was 0.67, which is competitive with the winning score of 0.75, particularly given that our system is a zero-shot system that requires no training and minimal parameter optimisation. In addition to describing the submitted system, and discussing the implications of the relative success of such a system on this task, we also report on other, more complex models we experimented with.
%R 10.18653/v1/S18-1167
%U https://aclanthology.org/S18-1167
%U https://doi.org/10.18653/v1/S18-1167
%P 1008-1012
Markdown (Informal)
[Discriminator at SemEval-2018 Task 10: Minimally Supervised Discrimination](https://aclanthology.org/S18-1167) (Kulmizev et al., SemEval 2018)
ACL