Recognition-of-logical-document-structures

First approach for recognizing logical document structures like texts, sentences, segments, words, chars and sentence/segment depth based on recurrent neural network grammars.

computer-science

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4 Stars

0 Forks

4 Watchers

C++ Language

mit License

Cost to Build

$10.47M

Market Value

$5.24M

How is this calculated?

Growth over time

4 data points · 2021-08-07 → 2022-06-04

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What is the Psarpei/Recognition-of-logical-document-structures GitHub project? Description: "First approach for recognizing logical document structures like texts, sentences, segments, words, chars and sentence/segment depth based on recurrent neural network grammars.". Written in C++. Explain what it does, its main use cases, key features, and who would benefit from using it.

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