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ADVISor: Automatic Visualization Answer for Natural-Language Question on Tabular Data | IEEE Conference Publication | IEEE Xplore

ADVISor: Automatic Visualization Answer for Natural-Language Question on Tabular Data


Abstract:

We propose an automatic pipeline to generate visualization with annotations to answer natural-language questions raised by the public on tabular data. With a pre-trained ...Show More

Abstract:

We propose an automatic pipeline to generate visualization with annotations to answer natural-language questions raised by the public on tabular data. With a pre-trained language representation model, the input natural language questions and table headers are first encoded into vectors. According to these vectors, a multi-task end-to-end deep neural network extracts related data areas and corresponding aggregation type. We present the result with carefully designed visualization and annotations for different attribute types and tasks. We conducted a comparison experiment with state-of-the-art works and the best commercial tools. The results show that our method outperforms those works with higher accuracy and more effective visualization.
Date of Conference: 19-21 April 2021
Date Added to IEEE Xplore: 25 May 2021
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Conference Location: Tianjin, China

References

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