Automatic document summarization extraction method based on term vectors
A document summary and automatic extraction technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as reducing the accuracy of node weights, affecting the performance of summarization, and ignoring the semantic similarity between sentences
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[0085] In order to make the objectives, technical solutions and beneficial effects of the present invention clearer and easier to implement, the present invention will be further described in detail in conjunction with the following specific embodiments and with reference to the accompanying drawings. In this embodiment, the length of the generated abstract is preset to 150 words.
[0086] S1. Use the deep neural network model training corpus to obtain the word vector representation of the feature words:
[0087] In order to obtain the vector representation form of the feature words, the embodiment adopts the corpus for collecting experimental corpus from the biomedical literature database MEDLINE maintained by the National Medical Library of the United States. Specifically, it queries all the literature citations on MEDLINE from 2011 to 2012 as the corpus. Preprocessing the sentences in the quotation, that is, removing the stop words, special characters and punct...
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