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The REAL Corpus: a crowd-sourced corpus of human generated and evaluated spatial references to real-world urban scenes

Bartie, P; Mackaness, W; Gkatzia, Dimitra; Rieser, V


P Bartie

W Mackaness

V Rieser


We present a newly crowd-sourced data set of natural language references to objects anchored in complex urban scenes (In short: The REAL Corpus – Referring Expressions Anchored Language). The REAL corpus contains a collection of images of real-world urban
scenes together with verbal descriptions of target objects generated by humans, paired with data on how successful other people were
able to identify the same object based on these descriptions. In total, the corpus contains 32 images with on average 27 descriptions per image and 3 verifications for each description. In addition, the corpus is annotated with a variety of linguistically motivated features.
The paper highlights issues posed by collecting data using crowd-sourcing with an unrestricted input format, as well as using real-world urban scenes. The corpus will be released via the ELRA repository as part of this submission.

Presentation Conference Type Conference Paper (Published)
Conference Name 10th International Conference on Language Resources and Evaluation (LREC)
Start Date May 23, 2016
End Date May 28, 2016
Acceptance Date Jan 26, 2016
Publication Date 2016
Deposit Date Mar 1, 2016
Publicly Available Date Mar 29, 2017
Peer Reviewed Peer Reviewed
Book Title 10th International Conference on Language Resources and Evaluation (LREC)
ISBN 978-2-9517408-9-1
Keywords Real-world urban spaces; spatial references; crowd sourcing;
Public URL
Contract Date Mar 29, 2017


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