Research Data Leeds Repository

Citation

Richard-Bollans, Adam (2020) Analysis of the Polysemy Exhibited by Spatial Prepositions. University of Leeds. [Dataset] https://doi.org/10.5518/825

Dataset description

In previous work exploring the semantics of spatial prepositions in grounded settings, we conducted a study to gather annotations related to spatial language in 3D virtual environments (https://doi.org/10.5518/764). Using this collected data we initially considered a semantic model based on Prototype Theory and introduced a method for learning its parameters from data which we discuss in http://eprints.whiterose.ac.uk/156866/. However, though there is much to suggest that spatial prepositions exhibit polysemy, each term was treated as exhibiting a single sense. The ability for terms to represent distinct but related meanings is unexplored in the work on grounded semantics and referring expressions, where even homonymy is rarely considered. Using the previously collected data we have examined how the polysemy exhibited by spatial prepositions may be incorporated into semantic models for situated dialogue and we have tested the approaches in a reference task. The current dataset provides an archive of the associated code and results of this analysis.

Keywords:	Spatial Prepositions, Spatial Semantics, Human Robot Interaction, Natural Language Processing, Referring Expression Generation
Subjects:	I000 - Computer sciences > I400 - Artificial intelligence
Divisions:	Faculty of Engineering and Physical Sciences > School of Computing
Related resources:	Location Type https://doi.org/10.24963/kr.2020/72 Publication http://eprints.whiterose.ac.uk/161568/ Publication https://etheses.whiterose.ac.uk/28893/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	22 Jun 2020 16:29
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/695
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Richard-Bollans, Adam https://orcid.org/0000-0003-1980-0107 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Publication date: 2020 Resource language: English Metadata language: English Research project title: Modelling Spatial Prepositions for Locative Expression Interpretation and Generation Publisher: University of Leeds Contact email: mm15alrb@leeds.ac.uk Last Modified: 19 Jul 2024 09:27

Files

Documentation

List of files [42kB] List of files [42kB] List of files [42kB] Security: Anyone File name: PolysemyAnalysis-list.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 42kB

ReadMe [1kB] ReadMe [1kB] ReadMe [1kB] Security: Anyone File name: readme.md Content type: Documentation Description: Readme explaining the files in the dataset License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1kB

Data

Polysemy Analysis [1MB] Polysemy Analysis [1MB] Polysemy Analysis [1MB] Security: Anyone File name: PolysemyAnalysis.zip Content type: Data Description: Collected Data and code used for analysis Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1MB