Automatic reasoning method, device and electronic equipment on the three-level theory of law

Abstract

The present invention provides an automatic reasoning method, device and electronic device of the three-level theory of law, wherein the method includes: constructing an interactive map of legal event evolution based on multiple rounds of interactive information; inputting the interactive map of legal event evolution into a pre-training reasoning model , to obtain the reasoning result of the legal event; the pre-training reasoning model is obtained by constructing the probabilistic representation of the proposition generated by combining the propositional representations of different knowledge types in the interactive map of the legal event evolution by using the three-level theory. Since the path of prediction is generated based on the reasoning of the three-level theory of law, the prediction can be fully interpreted, for example, it can explain clearly the situation of the establishment of the legality proposition of the elements and the probability of supporting it, and then provide prediction and evidence support for legal decision-making .

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to an automatic reasoning method, device and electronic equipment of the three-level theory of law. Background technique [0002] Reasoning is a very important and challenging task in the field of natural language processing. Its purpose is to use existing knowledge and inference techniques to make judgments on unseen input information. Machine reasoning requires heuristics and strategies, which are usually done by knowledgeable domain experts. This process is where machine reasoning becomes difficult for businesses to scale, as it requires a lot of expert human labor to accomplish the strategy. [0003] Machine reasoning works best in deterministic scenarios. That is, to determine if something is true, or if it will happen. Machine Reasoning has good applications in tasks such as common sense question answering, fact detection, natural language reasoning, visual common sen...

AI Technical Summary

Problems solved by technology

For example, for legal events, there is no complete knowledge base, and any expert's cognition may be biased, and legal knowledge is updated dynamically, so it is difficult to obtain complete information

In addition, in legal events, in addition to data such as support rate, winning and losing rate, etc., there is also logic between events. Therefore, it is difficult to achieve perfect reasoning results simply by using data and using machine reasoning to reason legal events.

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