Event extraction system and method oriented to open domain

Abstract

The invention relates to an event extraction system and method oriented to an open domain. The system comprises a preprocessing module, a trigger word identification module, an event parameter identification module, an event atlas analysis module and an event extraction display module, wherein the preprocessing module preprocesses original data information; the trigger word identification module carries out trigger word identification on the basis of a convolutional neural network; the event parameter identification module carries out event parameter identification on the basis of a graph model, the extraction work of an event parameter is converted into a specific graph segmentation problem, and the event parameter is obtained through segmentation; the event atlas analysis module analyzes trigger word identification results and event parameter identification results to obtain the same kind of events; and the event extraction display module carries out visual display on an analysis result so as to bring convenience for users to obtain information. By use of the system, the difficulty that news information can be quickly obtained under a big-data environment is solved, and the user can obtain a news event related to a keyword according to the keyword input on the own so as to provide great convenience for information acquisition.

Description

technical field [0001] The invention relates to an open domain-oriented event extraction system and method, belonging to the technical field of natural language processing. Background technique [0002] With the rapid development of the Internet, resources on the Internet have shown explosive growth. Among these resources, news information occupies an important part, and the ways for people to obtain news information have been greatly expanded. However, in the face of so much information, how to let people quickly obtain interesting content has become a The primary question that researchers need to face. Under the guidance of such requirements, researchers put a lot of energy into information extraction. [0003] Information Extraction refers to the automatic extraction of structured information from unstructured sources, such information can be entities, entity relationships, entity attributes, etc. Event Extraction (Event Extraction) is a more complex form of informatio...

AI Technical Summary

Problems solved by technology

When applying these methods to other fields, it often shows the phenomenon of domain inadaptability, that is, the effect of event extraction is poorer than that of the original field.

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