109 results about "Legal instrument" patented technology

The invention relates to a legal document named entity identification method, in particular to a theft case legal document named entity identification method based on adversarial transfer learning, which comprises the following steps: (1) constructing a legal named entity data set, (2) constructing an adversarial transfer learning neural network model, (3) testing the model, and (4) discussing a result. The method is practicable and clear in structure, has a reference value, can improve the accuracy of legal named entity recognition, can be applied to legal knowledge graph construction, multi-person multi-section case factual decomposition, evidence association analysis, judicial knowledge graph construction and the like based on legal named entity recognition.

The invention discloses a named entity recognition method and system for legal document multi-strategy fusion, and the method comprises the following steps: building a source data corpus, carrying outthe part-of-speech tagging and sequence tagging of the source data corpus, and carrying out the model pre-training; training the labeled data through a BiLSTM-Attention-CRF (Bipolar Long Short Term Memory-Attention-Content Random Field) model to obtain a trained first model; improving the trained first model; establishing a target data corpus, randomly extracting data from the target data of thelegal instrument, and generating a plurality of training sets; carrying out transfer learning on the plurality of training sets, and training the improved first model to obtain models trained by the plurality of training sets; and integrating the models trained by the plurality of training sets by adopting a voting mechanism in ensemble learning to obtain a second model, and performing named entity identification of legal documents by the second model to obtain a final named entity identification result. According to the method, the accuracy and recall rate of named entity recognition are improved under the condition of insufficient annotation corpora.

The invention provides a quantum clustering system and method for law texts. The quantum clustering system comprises a law document input system, a law text quantum clustering mining system, a database and a law document output system; and related law texts are input by the law document input system, preprocessed and cleaned by the law text quantum clustering mining system and then stored in the database. The law text quantum clustering mining system conducts clustering analysis on the law texts completing preliminary processing and cleaning, wherein the processed law texts or records are described by using quantum state functions, all the texts and records are grouped, the similar texts and records are gathered into one cluster, a large number of texts can be quickly processed by means ofthe superimposition characteristic, the coherence characteristic and the entanglement characteristic of the quantum state functions, text clustering in any shapes and abnormal phenomena and behaviorsof the texts are discovered, and a quantum clustering mining result is output graphically for a decision-making reference of a user.

The invention discloses a similar case document searching method and device, and the method comprises the steps: firstly determining the document type of an existing legal document, and then analyzingthe document content of the existing legal document to obtain document elements; and searching similar case documents matched with the document elements of the existing legal documents from the legaldocuments matched with the document types of the existing legal documents. By means of the method, the similar case documents of various types of legal documents can be searched for, the similar casedocuments are searched for according to the document elements of the existing legal documents, it is guaranteed that the found similar case documents are similar to the existing legal documents on the document elements, and therefore the accuracy of searching for the similar case documents is improved.