Entity relation joint extraction method and system based on relation guidance

An entity relationship and relationship extraction technology, applied in the direction of instruments, electrical digital data processing, computing models, etc., can solve problems such as the impact of relationship classification tasks, neglect of internal connections, error propagation, etc., to solve the problem of entity overlap, good application prospects, The effect of improving accuracy

Pending Publication Date: 2022-01-04
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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Problems solved by technology

Although entity recognition and relationship classification can choose models independently and freely, which has strong flexibility, this type of method has some disadvantages: error propagation, in the case of inaccurate entity recognition, will affect the next relationship classification task; Ignore the intrinsic connection between the two tasks

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  • Entity relation joint extraction method and system based on relation guidance
  • Entity relation joint extraction method and system based on relation guidance
  • Entity relation joint extraction method and system based on relation guidance

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[0030] In order to make the invention, the present invention will be described in detail below with reference to the accompanying drawings and techniques.

[0031] Entity relationship extraction is the basic task of information extraction, which is designed to extract a triple group from unstructured data. At present, there are mostly the idea of ​​first identifying the re-extract relationship, existing entity overlap and solid redundancy. Example of the present invention, see figure 1 As shown, there is provided a relationship-based entity relationship combined extraction method, including the following:

[0032] S101, encodes the sentence in the target text, and obtain the sentence vectors in the target text;

[0033] S102, indicating the sentence vector, using the relationship extraction module to extract the relationship type included in the target text;

[0034] S103, the type of relationship is fused as a priori knowledge and the target text sentence, and the entity correspo...

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Abstract

The invention belongs to the technical field of natural language processing, and particularly relates to an entity relation joint extraction method and system based on relation guidance, sentences in a target text are encoded, and sentence vector representation in the target text is obtained; for the sentence vector representation, a relation extraction module is used to extract a relation type contained in the target text; the extracted relation type is used as priori knowledge to be fused with word vector representation in a target text sentence, and an entity recognition module is used for recognizing an entity corresponding to the extracted relation type in the target text. Attention to irrelevant entities can be reduced, extraction of redundant entities is avoided, then entity pairs corresponding to multiple identified relation types are identified, the problem of entity overlapping is solved, all entity relation triples contained in sentences are extracted finally, entity relation identification accuracy is improved, and actual scene application is facilitated.

Description

technical field [0001] The invention belongs to the technical field of natural language processing, and in particular relates to a method and system for joint extraction of entity-relationships based on relationship orientation. Background technique [0002] With the advent of the era of big data, a large amount of data is generated on the Internet all the time, and most of these data exist in unstructured form. How to transform massive unstructured data into structured information is currently a concern. . Information extraction technology came into being under this background. Information extraction technology refers to the technology that automatically extracts information such as events, entities, and relationships from natural language texts, and outputs them in a structured form. Entity relationship extraction is a subtask of information extraction, the purpose is to identify entities in the text, and the relationship between entities, and represent them in the form ...

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Application Information

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IPC IPC(8): G06F40/279G06F40/126G06N20/00
CPCG06F40/279G06F40/126G06N20/00
Inventor 尹美娟胡红卫刘晓楠伍润民刘威罗向阳颜志豪
Owner PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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