Supersense and Sensibility: Proxy Tasks for Semantic Annotation of Prepositions

Luke Gessler, Shira Wein, Nathan Schneider


Abstract
Prepositional supersense annotation is time-consuming and requires expert training. Here, we present two sensible methods for obtaining prepositional supersense annotations indirectly by eliciting surface substitution and similarity judgments. Four pilot studies suggest that both methods have potential for producing prepositional supersense annotations that are comparable in quality to expert annotations.
Anthology ID:
2020.law-1.11
Volume:
Proceedings of the 14th Linguistic Annotation Workshop
Month:
December
Year:
2020
Address:
Barcelona, Spain
Venues:
COLING | LAW
SIG:
SIGANN
Publisher:
Association for Computational Linguistics
Note:
Pages:
117–126
Language:
URL:
https://aclanthology.org/2020.law-1.11
DOI:
Bibkey:
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PDF:
https://aclanthology.org/2020.law-1.11.pdf