Multi-party evidence association model construction method based on Bayesian network and evidence chain extraction method and device
A Bayesian network and evidence technology, applied in the field of artificial intelligence and judicial big data, can solve the problems of artificial construction, complex relationship between evidence sources and evidence, fuzzy reasoning scenarios, etc., to achieve the effect of speeding up
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[0045] figure 1 It is a technical route for building a multi-party evidence association analysis model. Its specific implementation method comprises the following steps:
[0046] (1) Extract and construct evidence element library
[0047] Evidence elements are extracted from different sources of evidence to form an evidence element library. The sources of evidence are divided into: plaintiff's evidence, defendant's evidence, judicial appraisal evidence and third-party evidence.
[0048] The principle of structured evidence element extraction is as follows: figure 2shown. Quickly extract plain text data information from PDF or TXT evidence format through natural language extraction technology, and remove special control information. By removing semantic noise, the trigger words are used to screen relevant sentences from the text, and according to the matching patterns, the extraction of key information and the identification of evidence elements are completed. The identi...
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