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Entity linking method based on entity boundary network

An entity and network technology, applied in the field of entity link based on entity boundary network, can solve the problems of high labor consumption, inability to scale quickly, and limited language.

Pending Publication Date: 2021-05-11
HARBIN INST OF TECH
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  • Description
  • Claims
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Problems solved by technology

At present, the traditional entity linking model often relies on massive text annotations, which consumes a lot of labor, time, and money, and is limited by language and cannot be quickly scaled up.

Method used

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  • Entity linking method based on entity boundary network
  • Entity linking method based on entity boundary network
  • Entity linking method based on entity boundary network

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Embodiment Construction

[0044] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them; based on this The embodiments in the invention, and all other embodiments obtained by persons of ordinary skill in the art without creative efforts, all belong to the scope of protection of the present invention.

[0045] A method for linking entities based on entity boundary networks, said method comprising the following steps:

[0046] A. Candidate Entity Generation: The candidate entity is generated through two steps of candidate entity extraction and candidate entity matching to ensure that the candidate entity list has a higher recall rate;

[0047] B. Candidate Entity Disambiguation: Build a keyword-based neural network model, the model is given a sta...

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Abstract

The invention provides an entity linking method based on an entity boundary network, which comprises the following steps of: firstly, generating candidate entities, and ensuring that a candidate entity list has a relatively high recall rate through candidate entity extraction and candidate entity matching; performing candidate entity disambiguation, constructing a neural network model based on keywords, processing a plurality of weighting types by utilizing entity description information, semantic information and context information and using a loss function, then training by using a full-connection network, finally obtaining a prediction result of entity linking through a dichotomy method, and outputting an entity linking relationship. Compared with the prior art, the method has a higher entity recall rate.

Description

technical field [0001] The invention relates to the field of artificial intelligence natural language processing, in particular to an entity linking method based on entity boundary network. Background technique [0002] In recent years, with the rapid development of artificial intelligence technology, how to enable machines to understand human language through natural language processing technology (NLP) has attracted the attention of many scholars. How to train the computer to recognize the entities in the text and link the entities to the database correctly is a key step for the computer to understand human language. Entity Linking (EntityLinking, EL) refers to mining potential entity relationships in human language texts, and linking them to the knowledge map entities where they are located, to solve the ambiguity (that is, polysemy of one word) and diversity (that is, multiple words and one word) between entities. righteousness) task. It is often used in applications s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/295G06F40/30G06F40/211
CPCG06F40/295G06F40/30G06F40/211
Inventor 张海军伍映吉
Owner HARBIN INST OF TECH
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