A method and system for identifying Chinese homonyms

Abstract

A method and system for identifying Chinese homologous events, the method comprising: performing word segmentation, entity recognition, and syntactic analysis on each sentence containing an event in annotated text of the same index and a test text, and obtaining a set of preprocessed annotated texts and a preprocessed The test text set is processed, and the event pairs and their feature information of the same event type are extracted from the pre-processing annotation text set and the pre-processing test text set in units of documents, respectively, to obtain the annotation text feature set and the test text feature set. According to the characteristics of each event pair in the marked text feature set, train a co-referencing event recognition model; then use the co-referring event recognition model to judge whether there is a co-referring relationship between the event pairs corresponding to each feature in the test text feature set, and get the event co-referencing First collection. The global optimization is performed on the results of the initially identified coincident events in the first set of event coincidences, and the event coincidence set is obtained. In this way, the performance of co-referencing event recognition 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...

AI Technical Summary

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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