# Supersense and Sensibility: Proxy Tasks for Semantic Annotation of Prepositions

arXiv: https://arxiv.org/abs/2103.14961 · HTML: https://mlsanity.com/paper/2103.14961/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 3 of its 20 references that are in the map.
- First posted on arXiv 27 Mar 2021.

## Builds on (most cited first, 3 of 3)

- [Comprehensive Supersense Disambiguation of English Prepositions and Possessives](https://mlsanity.com/paper/1805.04905/) (2018)
- [Lexical Semantic Recognition](https://mlsanity.com/paper/2004.15008/) (2020)
- [A Corpus of Adpositional Supersenses for Mandarin Chinese](https://mlsanity.com/paper/2003.08437/) (2020)

## Built on by (most cited first, 1 of 1)

- [Text-based NP Enrichment](https://mlsanity.com/paper/2109.12085/) (2021)

## Abstract (arXiv)

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.
