Convolution–deconvolution word embedding: An end-to-end multi-prototype fusion embedding method for natural language processing

Research article (Information Fusion, 2019) · cited 51× · AI/ML
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Convolution–deconvolution word embedding: An end-to-end multi-prototype fusion embedding method for natural language processing

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Convolution–deconvolution word embedding: An end-to-end multi-prototype fusion embedding method for natural language processing is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Convolution–deconvolution word embedding: An end-to-end multi-prototype fusion embedding method for natural language processing. Retrieved May 24, 2026, from https://4ort.xyz/entity/convolutiondeconvolution-word-embedding-an-end-to-end-multi-prototype-fusion-embedding-method-for-natural-language-proce
MLA “Convolution–deconvolution word embedding: An end-to-end multi-prototype fusion embedding method for natural language processing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/convolutiondeconvolution-word-embedding-an-end-to-end-multi-prototype-fusion-embedding-method-for-natural-language-proce.
BibTeX @misc{4ortxyz_convolutiondeconvolution-word-embedding-an-end-to-end-multi-prototype-fusion-embedding-method-for-natural-language-proce_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Convolution–deconvolution word embedding: An end-to-end multi-prototype fusion embedding method for natural language processing}}, year = {2026}, url = {https://4ort.xyz/entity/convolutiondeconvolution-word-embedding-an-end-to-end-multi-prototype-fusion-embedding-method-for-natural-language-proce}, note = {Accessed: 2026-05-24}}
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