Method for automatically mining corresponding citing fragment and citied literature original content fragment

Abstract

The invention discloses a method for automatically mining a corresponding citing fragment and a citied literature original content fragment. The method comprises the following steps: extracting a sentence which cites references as a citing fragment; carrying out sentence segmentation and numbering on the references cited by the citing fragment; carrying out word segmentation on each sentence in the citing fragment and the references to form citing fragment word groups and reference sentence word groups, and calculating similarity between the sentence in the citing fragment and the sentence in the references; and according to the calculated similarity of the sentences, sorting the sentences, extracting the sentence, which has the highest similarity with the citing fragment, in the references, and taking the extracted sentence as the cited literature original content fragment corresponding to the citing fragment. By use of the method provided by the invention, corpus training does not need to be prepared in advance, calculation complexity is low, various similarity calculation methods can be flexibly realized, and high accuracy and a high recall rate are realized.

Description

technical field [0001] The invention belongs to the fields of information extraction in natural language processing and citation content extraction and analysis in bibliometrics, and in particular relates to a method for automatically mining corresponding citing fragments and original content fragments of cited documents. Background technique [0002] Currently, the research on citation relationship in the field of bibliometrics only uses information such as the number of citations and bibliography of the paper, without in-depth analysis and utilization of the specific reference content information in the paper. Based on the above deficiencies, the present invention uses natural language processing technology to analyze scientific and technological papers, proposes and implements a method system for analyzing the content of citing fragments of scientific and technological papers and the original text of cited documents, and mining and discovering their corresponding relations...

AI Technical Summary

Problems solved by technology

This method uses a relatively mature technology, and its disadvantage is that it needs a large-scale corpus training to obtain word feature vectors in advance. At the same time, the selection of feature vectors has a great impact on the results, resulting in large performance fluctuations.

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