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Quality Assurance o...
Quality Assurance of Generative Dialog Models in an Evolving Conversational Agent Used for Swedish Language Practice
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- Borg, Markus (author)
- RISE,Mobilitet och system
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- Bengtsson, J. (author)
- Lund University, Sweden
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- Osterling, H. (author)
- Lund University, Sweden
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- Hagelborn, A. (author)
- NordAxon AB, Sweden
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- Gagner, Isabella (author)
- RISE,Mobilitet och system
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- Tomaszewski, Piotr (author)
- RISE,Mobilitet och system
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(creator_code:org_t)
- 2022-10-17
- 2022
- English.
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In: Proceedings - 1st International Conference on AI Engineering - Software Engineering for AI, CAIN 2022. - New York, NY, USA : Institute of Electrical and Electronics Engineers Inc.. - 9781450392754 ; , s. 22-32
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- Due to the migration megatrend, efficient and effective second-language acquisition is vital. One proposed solution involves AI-enabled conversational agents for person-centered interactive language practice. We present results from ongoing action research targeting quality assurance of proprietary generative dialog models trained for virtual job interviews. The action team elicited a set of 38 requirements for which we designed corresponding automated test cases for 15 of particular interest to the evolving solution. Our results show that six of the test case designs can detect meaningful differences between candidate models. While quality assurance of natural language processing applications is complex, we provide initial steps toward an automated framework for machine learning model selection in the context of an evolving conversational agent. Future work will focus on model selection in an MLOps setting.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
Keyword
- action research
- AI quality
- conversational agent
- generative dialog model
- requirements engineering
- software testing
- Learning algorithms
- Natural language processing systems
- Quality assurance
- Software agents
- Conversational agents
- Dialogue models
- Megatrends
- Model Selection
- Requirement engineering
- Software testings
- Swedishs
Publication and Content Type
- ref (subject category)
- kon (subject category)
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