Supersense and Sensibility: Proxy Tasks for Semantic Annotation of Prepositions
This work addresses the challenge of semantic annotation for prepositions, which is incremental as it builds on existing annotation tasks.
The paper tackled the problem of time-consuming and expert-dependent prepositional supersense annotation by proposing two methods based on surface substitution and similarity judgments, with pilot studies indicating potential for producing annotations comparable to expert quality.
Prepositional supersense annotation is time-consuming and requires expert training. Here, we present two sensible methods for obtaining prepositional supersense annotations 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.