Text matching based on reconstructed color interaction image

Haohao Nie; Tanfeng Sun; Xinghao Jiang; Ke Xu

doi:10.1117/12.2559552

31 December 2019 Text matching based on reconstructed color interaction image

Haohao Nie, Tanfeng Sun, Xinghao Jiang, Ke Xu

Proceedings Volume 11384, Eleventh International Conference on Signal Processing Systems; 1138417 (2019) https://doi.org/10.1117/12.2559552
Event: Eleventh International Conference on Signal Processing Systems, 2019, Chengdu, China

Abstract

Plenty of natural language processing tasks can be modeled as text matching, such as question answering, machine translation and so on. An elementary and efficacious method is to distill matching patterns from words, phrases and sentences to obtain the matching score. In this paper, Reconstructed Color Interaction Image (RCII) is proposed to convert text matching to color image recognition. First, two texts are reconstructed and similarity operations are adopted to generate Color Interaction Image (CII). Then CNN is applied to extract hierarchical and elaborate matching information. Finally, fully connected layers are employed to obtain the matching score. Experiments have proved the effectiveness of our method.

Citation Download Citation

Haohao Nie, Tanfeng Sun, Xinghao Jiang, and Ke Xu "Text matching based on reconstructed color interaction image", Proc. SPIE 11384, Eleventh International Conference on Signal Processing Systems, 1138417 (31 December 2019); https://doi.org/10.1117/12.2559552

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KEYWORDS

Transformers

Image processing

Computer programming

Convolution

Performance modeling

Data modeling

Sun

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