2021 25th International Conference Information Visualisation (IV)最新文献

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Full interpretable machine learning in 2D with inline coordinates 完整的可解释的机器学习在二维与内联坐标
2021 25th International Conference Information Visualisation (IV) Pub Date : 2021-06-14 DOI: 10.1109/IV53921.2021.00038
B. Kovalerchuk, Hoang Phan
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引用次数: 4
Context-Sensitive Visualization of Deep Learning Natural Language Processing Models 深度学习自然语言处理模型的上下文敏感可视化
2021 25th International Conference Information Visualisation (IV) Pub Date : 2021-05-25 DOI: 10.1109/IV53921.2021.00035
A. Dunn, D. Inkpen, Razvan Andonie
{"title":"Context-Sensitive Visualization of Deep Learning Natural Language Processing Models","authors":"A. Dunn, D. Inkpen, Razvan Andonie","doi":"10.1109/IV53921.2021.00035","DOIUrl":"https://doi.org/10.1109/IV53921.2021.00035","url":null,"abstract":"The introduction of Transformer neural networks has changed the landscape of Natural Language Processing (NLP) during the last years. So far, none of the visualization systems has yet managed to examine all the facets of the Transformers. This gave us the motivation of the current work. We propose a novel NLP Transformer context-sensitive visualization method that leverages existing NLP tools to find the most significant groups of tokens (words) that have the greatest effect on the output, thus preserving some context from the original text. The original contribution is a context-aware visualization method of the most influential word combinations with respect to a classifier. This context-sensitive approach leads to heatmaps that include more of the relevant information pertaining to the classification, as well as more accurately highlighting the most important words from the input text. The proposed method uses a dependency parser, a BERT model, and the leave-n-out technique. Experimental results suggest that improved visualizations increase the understanding of the model, and help design models that perform closer to the human level of understanding for these problems.","PeriodicalId":380260,"journal":{"name":"2021 25th International Conference Information Visualisation (IV)","volume":"90 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128043662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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