Natural language interfaces (NLIs) enable users to flexibly specify analytical intentions in data visualization. However, diagnosing the visualization results without understanding the underlying generation process is challenging. Our research explores how to provide explanations for NLIs to help us...
Détails bibliographiques
| Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 30(2024), 7 vom: 26. Juli, Seite 3813-3827
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| Auteur principal: |
Feng, Yingchaojie
(Auteur) |
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| Autres auteurs: |
Wang, Xingbo,
Pan, Bo,
Wong, Kam Kwai,
Ren, Yi,
Liu, Shi,
Yan, Zihan,
Ma, Yuxin,
Qu, Huamin,
Chen, Wei |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2024
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| Accès à la collection: | IEEE transactions on visualization and computer graphics
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| Sujets: | Journal Article |
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