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Research on multi-level Chinese paraphrasing, using seq2seq to generate multiple sentences with the same semantic meaning

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Data-enhancement-and-paraphrasing

Research on multi-level Chinese paraphrasing, using seq2seq to generate multiple sentences with the same semantic meaning

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Introduction

The project expounds the Chinese text retelling method based on multi-level semantic units, retells the text based on two levels of words and sentences, uses seq2 seq based on attention mechanism, obtains the semantic representation of the whole sentence by weighting all hidden layers in the coding part and using multiple semantic information(hidden layer state).

How to Contribute

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

If you think you can help in any of these areas or in many areas we haven't thought of yet, then please take a look at our Contributors' guidelines.

Contact us

If you want to report a problem or suggest an enhancement we'd love for you to open an issue at this github repository because then we can get right on it. But you can also contact Yuki(Yuxin) by email yuxin.yuki.chen@gmail.com.

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Research on multi-level Chinese paraphrasing, using seq2seq to generate multiple sentences with the same semantic meaning

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