Method for automatically generating unsupervised science and technology intelligence abstract based on multi-sentence compression
An automatic generation, unsupervised technology, applied in natural language data processing, unstructured text data retrieval, instruments, etc., can solve the problems of high data timeliness and authority, difficulty in generating reports, manual collection and screening, etc. The effect of improving performance, improving relevance, and optimizing efficiency
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[0121] This embodiment describes a specific embodiment of the method of the present invention.
[0122] The implementation diagram is as follows figure 1 The overall process is shown. The invention provides a complete process from text data acquisition, data processing, and abstract text generation in the process of generating scientific and technological information abstracts. During the specific implementation of the present invention, firstly, the theme crawler module starts to work, obtains the data required for analysis according to the keyword library provided by the user, then the text information value evaluation module analyzes and sorts the obtained data, and finally uses the sorting result as The input of the summary generation module is brought into the model to get the final result.
[0123] First, according to the keywords provided by the user, the topic crawler module is used to obtain data in Google Scholar, DARPA, IARPA, and RAND Think Tank. figure 2 It is...
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