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Crowdsourcing a sel...
Crowdsourcing a self-evolving dialog graph
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- Jonell, Patrik (författare)
- KTH,Tal, musik och hörsel, TMH
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Lopes, J. (författare)
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- Fallgren, Per (författare)
- KTH,Tal, musik och hörsel, TMH
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- Wennberg, Ulme (författare)
- KTH
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- Doğan, Fethiye Irmak (författare)
- KTH,Robotik, perception och lärande, RPL
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- Skantze, Gabriel, 1975- (författare)
- KTH,Tal, musik och hörsel, TMH
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(creator_code:org_t)
- 2019-08-22
- 2019
- Engelska.
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Ingår i: CUI '19: Proceedings of the 1st International Conference on Conversational User Interfaces. - New York, NY, USA : Association for Computing Machinery (ACM). - 9781450371872
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- In this paper we present a crowdsourcing-based approach for collecting dialog data for a social chat dialog system, which gradually builds a dialog graph from actual user responses and crowd-sourced system answers, conditioned by a given persona and other instructions. This approach was tested during the second instalment of the Amazon Alexa Prize 2018 (AP2018), both for the data collection and to feed a simple dialog system which would use the graph to provide answers. As users interacted with the system, a graph which maintained the structure of the dialogs was built, identifying parts where more coverage was needed. In an ofine evaluation, we have compared the corpus collected during the competition with other potential corpora for training chatbots, including movie subtitles, online chat forums and conversational data. The results show that the proposed methodology creates data that is more representative of actual user utterances, and leads to more coherent and engaging answers from the agent. An implementation of the proposed method is available as open-source code.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Nyckelord
- Crowdsourcing
- Datasets
- Dialog systems
- Human-computer interaction
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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