A Chinese event information mining method and system

Abstract

The invention discloses a method and system for mining Chinese event information. The method includes the steps of defining an event sample model based on the mining requirement, instantiating the event sample model to obtain a seed event, taking the seed event as the foundation of an event mined from an original text, conducting preprocessing on the original text to obtain a candidate template set, conducting information labeling on the seed event, processing the seed event on the basis of labeling information to obtain a seed template set, then, processing the candidate template set through an iterative method according to the grade scores of candidate templates and the semantic similarity between the candidate templates and seed templates so that an event mining anchor set can be obtained, and obtaining the event types corresponding to mining event anchors according to the lexical semantic similarity between each event mining anchor in the event mining anchor set and any seed event anchor in the seed event set. The aim of mining the Chinese event information from the original text can be achieved only by labeling a small amount of samples, namely, the seed events, and the mining cost is reduced.

Description

technical field [0001] The invention belongs to the technical field of Chinese information mining, and in particular relates to a Chinese event information mining method and system. Background technique [0002] Event mining is to dig out the factual information that users are interested in from the massive Internet text information, so as to provide the basis for subsequent analysis and decision-making. For example, mining events related to terrorist attacks (including attack events, death events, etc.) from the Internet can be used to analyze the security situation of various countries and regions. Therefore, research on event mining methods, especially on Chinese event mining methods It has important application value. [0003] The purpose of Chinese event mining is to mine the anchor of a specific event from the original text, and to judge the event type corresponding to the mined anchor. At present, Chinese event mining methods mainly include manual rule method and su...

AI Technical Summary

Problems solved by technology

[0004] In the above two mining methods, it is necessary to read a large amount of document information to compile mining rules or mark a large number of training samples, and the compilation of mining rules and the labeling of a large number of training samples require a lot of time and energy, resulting in high cost of event mining. Time-consuming

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