Published November 16, 2020
| Version 1.0
Dataset
Open
SLURP: A Spoken Language Understanding Resource Package
- 1. Heriot-Watt University, Edinburgh, U.K.
- 2. University of New South Wales, Sydney, Australia
Description
This resource contains supplementary audio material used in our EMNLP 2020 paper where we release SLURP, a new SLU package containing the following: (1) A new challenging dataset in English spanning 18 domains, which is substantially bigger and linguistically more diverse than existing datasets; (2) Competitive baselines based on state-of-the-art NLU and ASR systems; (3) A new transparent metric for entity labelling which enables a detailed error analysis for identifying potential areas of improvement. Textual annotations are released via the corresponding Github repository (for ease of maintenance).
Files
LICENSE.txt
Files
(6.8 GB)
Name | Size | Download all |
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md5:eb6f866654ad4facb53b038dc24f9c6a
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287 Bytes | Preview Download |
md5:9efc0f058ced47bf5131c7cb2cade513
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3.9 GB | Download |
md5:6186b4d2475aa8020afe746096e30b4f
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2.8 GB | Download |
Additional details
Related works
- Is supplement to
- Dataset: https://github.com/pswietojanski/slurp (URL)
- Conference paper: https://www.aclweb.org/anthology/2020.emnlp-main.588.pdf (URL)