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Quality Assurance of Generative Dialog Models in an Evolving Conversational Agent Used for Swedish Language Practice ...
Abstract: 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. ... : Accepted for publication in the Proc. of the 1st International Conference on AI Engineering, 2022 ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Software Engineering cs.SE
URL: https://dx.doi.org/10.48550/arxiv.2203.15414
https://arxiv.org/abs/2203.15414
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2
Improve Sentence Alignment by Divide-and-conquer ...
Zhang, Wu. - : arXiv, 2022
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3
A Neural Pairwise Ranking Model for Readability Assessment ...
Lee, Justin; Vajjala, Sowmya. - : arXiv, 2022
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4
SMDT: Selective Memory-Augmented Neural Document Translation ...
Zhang, Xu; Yang, Jian; Huang, Haoyang. - : arXiv, 2022
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5
Learn from Structural Scope: Improving Aspect-Level Sentiment Analysis with Hybrid Graph Convolutional Networks ...
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6
Learning the Ordering of Coordinate Compounds and Elaborate Expressions in Hmong, Lahu, and Chinese ...
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7
Modeling Intensification for Sign Language Generation: A Computational Approach ...
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8
A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition ...
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9
Open Source HamNoSys Parser for Multilingual Sign Language Encoding ...
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10
A Comprehensive Review of Sign Language Recognition: Different Types, Modalities, and Datasets ...
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11
Sign Language Video Retrieval with Free-Form Textual Queries ...
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12
pNLP-Mixer: an Efficient all-MLP Architecture for Language ...
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13
ParaNames: A Massively Multilingual Entity Name Corpus ...
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14
Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments ...
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15
Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation ...
Chen, Liang; Xu, Runxin; Chang, Baobao. - : arXiv, 2022
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16
Sememe Prediction for BabelNet Synsets using Multilingual and Multimodal Information ...
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17
Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation ...
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18
IndicXNLI: Evaluating Multilingual Inference for Indian Languages ...
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19
MMTAfrica: Multilingual Machine Translation for African Languages ...
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20
mGPT: Few-Shot Learners Go Multilingual ...
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