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filingDate 2020-10-14-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_66a341f0f0ab1bbf016341368ad99ec4
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publicationDate 2021-01-12-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-112214992-A
titleOfInvention Deep learning and rule combination based narrative structure analysis method
abstract The invention discloses a narrative structure analysis method based on deep learning and rule combination, and belongs to the technical field of composition analysis. S1, selecting a structural tag group analysis system according to the composition type, and segmenting the narrative into segments and sentences; s2, sentence-level structure label recognition is carried out on each sentence in each paragraph, and the effect of each sentence in the whole text is obtained; s3, identifying the partial subsection structure label segment by segment to obtain the function of the label in the whole text; and S4, identifying the structural labels needing the related information of other paragraphs, adjusting the existing structural labels, and obtaining the result of the structural analysis of the narrative. According to the method, the narrative is divided into four types of scenes, writers, narratives and forms according to different description objects, a set of complete narrative structure system is designed, and the narrative structure can be automatically analyzed by using a method of combining deep learning and rules without manual processing, so that the speed of analyzing the narrative structure is greatly increased, and the labor cost is saved.
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