Official document abstract generation model combining extraction type and generation type
A generative model and extraction technology, applied in unstructured text data retrieval, text database browsing/visualization, instruments, etc., can solve a large number of manual labeling data and other problems, and achieve the effect of enhancing semantic meaning and accurate representation
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[0036] The technical solution of the present invention is further described below, but the scope of protection is not limited to the description.
[0037] Such as image 3 As shown, a document abstract generation model combining extractive and generative methods; first, filter the content of official documents, remove the noise data of document abstracts, and clean and preprocess the processed data, and then use the extractive abstract model to generate weak labels Dataset A, secondly, enhance the quality of weakly labeled dataset A by means of summary coherence and increasing the number of high-confidence samples, and finally use weakly labeled dataset A to train the generative summary model to obtain the official document summary generation model.
[0038] Specifically include the following steps:
[0039] ① Document content screening: From the document data corpus, the document content is screened to remove the document summary noise data in the document;
[0040] ②Data c...
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