EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue Systems Article Swipe
Shutong Feng
,
Nurul Lubis
,
Christian Geishauser
,
Hsien-chin Lin
,
Michael Heck
,
Carel van Niekerk
,
Milica Gašić
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.6506504
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.6506504
This is the dataset created for the paper, "EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue Systems" (https://arxiv.org/abs/2109.04919).\n\nEmoWOZ is based on MultiWOZ, a multi-domain task-oriented dialogue dataset (https://github.com/budzianowski/multiwoz). It contains more than 11K task-oriented dialogues with more than 83K emotion annotations of user utterances. In addition to Wizard-of-Oz dialogues from MultiWOZ, we collect human-machine dialogues within the same set of domains to sufficiently cover the space of various emotions that can happen during the lifetime of a data-driven dialogue system. There are 7 emotion labels, which are adapted from the OCC emotion models.\n\nFor data format and label definition, please refer to README.md.
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Metadata
- Type
- dataset
- Language
- en
- Landing Page
- https://zenodo.org/record/6506504
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4393704532Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5281/zenodo.6506504Digital Object Identifier
- Title
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EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue SystemsWork title
- Type
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datasetOpenAlex work type
- Language
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enPrimary language
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2022Year of publication
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2022-04-29Full publication date if available
- Authors
-
Shutong Feng, Nurul Lubis, Christian Geishauser, Hsien-chin Lin, Michael Heck, Carel van Niekerk, Milica GašićList of authors in order
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-
https://zenodo.org/record/6506504Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://zenodo.org/record/6506504Direct OA link when available
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Task (project management), Scheme (mathematics), Computer science, Scale (ratio), Natural language processing, Labelling, Artificial intelligence, Speech recognition, Psychology, Cartography, Engineering, Mathematics, Geography, Systems engineering, Mathematical analysis, CriminologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.of | 46, 64, 71, 80 |
| abstract_inverted_index.on | 25 |
| abstract_inverted_index.to | 51, 66, 105 |
| abstract_inverted_index.we | 56 |
| abstract_inverted_index.11K | 37 |
| abstract_inverted_index.83K | 43 |
| abstract_inverted_index.OCC | 95 |
| abstract_inverted_index.and | 12, 100 |
| abstract_inverted_index.are | 86, 91 |
| abstract_inverted_index.can | 75 |
| abstract_inverted_index.for | 5, 15 |
| abstract_inverted_index.set | 63 |
| abstract_inverted_index.the | 2, 6, 61, 69, 78, 94 |
| abstract_inverted_index.This | 0 |
| abstract_inverted_index.data | 98 |
| abstract_inverted_index.from | 54, 93 |
| abstract_inverted_index.more | 35, 41 |
| abstract_inverted_index.same | 62 |
| abstract_inverted_index.than | 36, 42 |
| abstract_inverted_index.that | 74 |
| abstract_inverted_index.user | 47 |
| abstract_inverted_index.with | 40 |
| abstract_inverted_index.There | 85 |
| abstract_inverted_index.based | 24 |
| abstract_inverted_index.cover | 68 |
| abstract_inverted_index.label | 101 |
| abstract_inverted_index.refer | 104 |
| abstract_inverted_index.space | 70 |
| abstract_inverted_index.which | 90 |
| abstract_inverted_index.Corpus | 11 |
| abstract_inverted_index.Scheme | 14 |
| abstract_inverted_index.during | 77 |
| abstract_inverted_index.format | 99 |
| abstract_inverted_index.happen | 76 |
| abstract_inverted_index.paper, | 7 |
| abstract_inverted_index.please | 103 |
| abstract_inverted_index.within | 60 |
| abstract_inverted_index.Emotion | 16 |
| abstract_inverted_index.adapted | 92 |
| abstract_inverted_index.collect | 57 |
| abstract_inverted_index.created | 4 |
| abstract_inverted_index.dataset | 3, 31 |
| abstract_inverted_index.domains | 65 |
| abstract_inverted_index.emotion | 44, 88, 96 |
| abstract_inverted_index.labels, | 89 |
| abstract_inverted_index.system. | 84 |
| abstract_inverted_index.various | 72 |
| abstract_inverted_index."EmoWOZ: | 8 |
| abstract_inverted_index.Dialogue | 20 |
| abstract_inverted_index.Systems" | 21 |
| abstract_inverted_index.addition | 50 |
| abstract_inverted_index.contains | 34 |
| abstract_inverted_index.dialogue | 30, 83 |
| abstract_inverted_index.emotions | 73 |
| abstract_inverted_index.lifetime | 79 |
| abstract_inverted_index.Labelling | 13 |
| abstract_inverted_index.MultiWOZ, | 26, 55 |
| abstract_inverted_index.dialogues | 39, 53, 59 |
| abstract_inverted_index.README.md. | 106 |
| abstract_inverted_index.Large-Scale | 10 |
| abstract_inverted_index.Recognition | 17 |
| abstract_inverted_index.annotations | 45 |
| abstract_inverted_index.data-driven | 82 |
| abstract_inverted_index.definition, | 102 |
| abstract_inverted_index.utterances. | 48 |
| abstract_inverted_index.Wizard-of-Oz | 52 |
| abstract_inverted_index.multi-domain | 28 |
| abstract_inverted_index.sufficiently | 67 |
| abstract_inverted_index.Task-Oriented | 19 |
| abstract_inverted_index.human-machine | 58 |
| abstract_inverted_index.task-oriented | 29, 38 |
| abstract_inverted_index.models.\n\nFor | 97 |
| abstract_inverted_index.(https://github.com/budzianowski/multiwoz). | 32 |
| abstract_inverted_index.(https://arxiv.org/abs/2109.04919).\n\nEmoWOZ | 22 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile |