System and method for improving event extraction annotation efficiency, event extraction method and system
An event extraction and event technology, applied in special data processing applications, instruments, unstructured text data retrieval, etc., can solve problems such as interference with labeling progress, waste of labeling manpower, and sparse distribution of events, so as to reduce calculations and save calculations , the effect of reducing the amount of data
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Embodiment 1
[0043] Such as figure 1 As shown, this embodiment schematically provides a method for improving the efficiency of event extraction and labeling, including the following steps:
[0044] Step 1, according to punctuation marks, such as sentence end symbols such as full stop, question mark, exclamation point, several parts (such as 20-30 parts) texts that have been manually marked are split into several sentences, and extracted from the several sentences Annotated statement, and replace the name of person, company, and institution in the annotated statement with PER, COM, and ORG. The marked text here can be a part of the text to be marked, or it can be a text other than the text to be marked. If the marked text here can be a part of the text to be marked, then the text to be marked in step 3 below refers to the remaining part of the text to be marked.
[0045] In this embodiment, the NER tool is used here to replace the person's name, company name, and organization name in the ...
Embodiment 2
[0072] see Figure 5 , an event extraction method is provided in this embodiment, comprising the following steps:
[0073] Step 21, sort the text to be extracted from large to small according to the possibility of event existence.
[0074] In step 22, event extraction is performed on only a set number of texts to be extracted that are ranked higher.
[0075] This method is carried out based on the same idea of the foregoing embodiment 1, so the execution process of the method can refer to the relevant description of the method described in embodiment 1. For example, the execution process of step 21 is as follows:
[0076] Convert several annotated texts into a reference matrix composed of multidimensional vectors. Concretely, firstly, split the marked texts into several sentences (a text contains one or more sentences), extract the marked sentences from the several sentences, and define the marked sentences The number of entries is n; then replace the entity name existin...
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