Event information fusion method and system

Abstract

The invention discloses a method and a system for fusing event information. The method and the system are used for extracting, replenishing, clustering and fusing the event information to form a complete event with the high integrity degree of the event information. The method comprises the following steps of: generating an original selection event set including a plurality of events; comparing the similarity of the events in the original selection event set and an event extraction mode to form a candidate event set; discriminating and annotating the candidate event set to generate a trainingsample, and generating an inference rule, a zero coreference resolution model, an event identification and extraction model and an argument identification and extraction model of the related events by the training sample; acquiring webpage texts from a webpage of the complete event to be extracted to generate event-annotated texts, and performing structural replenishment on clauses with structural deficiency to generate event-replenished annotating texts; extracting event mentions and event arguments of the event-replenished annotating texts to obtain a first event set; and clustering the event examples of the first event set, and normalizing to generate the complete event.

Description

technical field [0001] The present invention relates to the field of information processing, in particular to an event information fusion method and system. Background technique [0002] Since the present invention involves multiple event-related concepts in the event information processing system, in order to better understand the present invention, the related concepts are explained first: [0003] Event (Event): What has / may / will happen in the real world, generally including time, place and characters, such as birth, death, earthquake and car accident, due to different expressions, each specific event There may be more than one event instance. [0004] Entity: An object or a collection of objects in a semantic category, such as names of people, vehicles, and places. [0005] Event Mention (Event Mention, EM): a sentence or clause describing an event, such as "Zhang San was born in Suzhou, Jiangsu Province in 1973." is an event instance of the category of birth event. ...

AI Technical Summary

Problems solved by technology

[0015] At present, the research on event information extraction mainly focuses on event extraction in simple sentences or sentence groups. There is no event fusion technology after event extraction, which makes event information incomplete and inaccurate, and there is a problem of missing event attributes.

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