Chinese homodigital event recognition method and system

Abstract

The invention discloses a Chinese homodigital event recognition method and system. The method comprises: carrying out word segmentation, entity recognition and syntactic analysis on each sentence containing an event in a homodigital labelled text and a test text to obtain a preprocessing labelled text set and a preprocessing test text set, and extracting events of the same event type and feature information thereof in the preprocessing labelled text set and the preprocessing test text set with one document as a unit to obtain a labelled text feature set and a test text feature set; training a homodigital event recognition model according to features of each event pair in the labelled text feature set; using the homodigital event recognition model to determine whether there is a homodigital relation among the event pair corresponding to each feature in the test text feature set, and obtaining a first event homodigital set; and carrying out global optimization on homodigital event results initially recognized in the first event homodigital set with one document as a unit. Therefore homodigital event recognition performance is improved.

Description

technical field [0001] The invention belongs to the field of natural language processing, and in particular relates to a method and system for recognizing Chinese homonyms among events. Background technique [0002] Event (Event) is a main form of information representation. It is an objective fact (also called "natural event") of specific people, things, and things interacting at a specific time and a specific place, such as human injury and death events. and food additive incidents, etc. An article often contains many events, and there are various relationships between these events. When two events point to the same event ontology, it is considered that the two events have a co-reference (or coreference) relationship. For example: [0003] Example 1: The heads of state of the two countries held talks in Paris today. ... The two sides discussed the issue of peace in the Middle East during the talks. [0004] Example 2: The financial crisis broke out in the United State...

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Problems solved by technology

[0009] At present, in the field of Chinese homologous event recognition, most methods use classifier-based machine learning methods and rule-based methods. These methods have the following problems: 1) Most Chinese homologous event recognition methods that use machine learning still use English homologous event recognition. method, the language is not specific enough

These characteristics make the method of identifying the same event in English lack of performance; 2) The machine learning method assumes that the event pairs are independent of each other, which may easily cause conflicts in classification results and inconsistent event chains; 3) The disadvantage of the rule method is that The construction cost of the rules is high, and the versatility is not enough to be used across domains

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