Dam safety operation-oriented event atlas construction method

Abstract

The invention discloses a dam safety operation-oriented event atlas construction method. The method comprises the following steps of: (1) embedding enhanced semantic information by using word vectors; (2) introducing local attention and global attention to capture keywords and mine document information; (3) solving a sample imbalance problem by using Focalloss and extracting an event type; (4) adding event type codes, connecting the event type codes in series to form a new sentence code, and processing embedded vectors after series connection by using BiLSTM; (5) converting the attention network and the attention network according to the proportion, extracting effective features, and capturing corresponding event arguments; (6) filling an event missing document level argument by using an argument filling network; and (7) converting the attention network and the attention network labeling sequence by the weighted fusion graph, obtaining a causal relationship between events, and constructing an event graph.

Description

technical field [0001] The invention relates to an event map construction method oriented to the safe operation of a dam. The event knowledge map is formed by extracting dam operating condition events and their event arguments in text data through an event detection and extraction model based on dual attention. It aims to solve the problem of automatically extracting events and their arguments from a large number of dam operation record texts, and generating a knowledge graph of dam events. Background technique [0002] The concept of knowledge graph was proposed by Google in 2012. It was first used by search engines for entity-based search instead of string-based search, thereby improving user search quality and experience. In the era of big data, the knowledge graph expresses the information of the Internet in a structured form that is closer to the human cognitive world, providing a better ability to organize, manage and understand the massive information on the Internet....

AI Technical Summary

Problems solved by technology

However, in industrial practice, building a knowledge map by extracting knowledge from unstructured data such as text information faces many technical challenges.

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