Multi-entity relationship joint extraction method and device based on text generation

An entity-relationship and generative technology, applied in unstructured text data retrieval, special data processing applications, instruments, etc., to achieve the effect of solving the problem of entity-relationship extraction

Pending Publication Date: 2019-09-03
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] This application proposes a method and device for joint extraction of multi-entity relationships based on text generation, which is used to solve the

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  • Multi-entity relationship joint extraction method and device based on text generation
  • Multi-entity relationship joint extraction method and device based on text generation
  • Multi-entity relationship joint extraction method and device based on text generation

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Embodiment Construction

[0037] Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary, and are intended to explain the present application, and should not be construed as limiting the present application.

[0038] The method and device for joint extraction of multi-entity relationships based on text generation according to the embodiments of the present application will be described below with reference to the accompanying drawings.

[0039] figure 1 It is a schematic flowchart of a text generation-based multi-entity relationship joint extraction method provided by the embodiment of the present application.

[0040] The multi-entity relationship joint extraction method based on text generation in the embodiment of the present ...

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Abstract

The invention provides a multi-entity relationship joint extraction method and device based on text generation, wherein the method comprises the steps of expressing each word in a sentence to be processed through a coding vector, and obtaining a word embedding vector of each word; performing feature extraction on the word embedding vector of each word, and obtaining a high-grade feature representation vector of each word; and decoding the advanced feature representation vector, generating a target entity or a relational word at each moment to obtain a generation sequence, and generating the words generated at each three consecutive moments in the generation sequence to form an entity relationship triple. According to the method, an entity relationship extraction task is converted into a text generation task, the entity and the relation words are used as the target text to be generated, and one or more groups of relation triplets are generated, so that the joint extraction of the entityand the relation is achieved, the entity can repeatedly appear in the multiple triplets, and the entity overlapping and entity relation extraction problems under the multiple relations are solved.

Description

technical field [0001] The present application relates to the technical field of natural language processing, in particular to a method and device for joint extraction of multi-entity relations based on text generation. Background technique [0002] With the rapid development of Internet technology and the explosive growth of information, how to accurately and efficiently extract effective information from these texts has become an urgent need to be solved. Entity relationship extraction, as one of the core tasks in the field of natural language processing and information extraction, is to extract factual information, such as specified entities and relationships, from unstructured or semi-structured text through relationship extraction technology, and It has been preserved in a structured form, and at the same time as the basic work of optimizing search engines, establishing knowledge graphs, and developing intelligent question-answering systems, it has attracted extensive a...

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Application Information

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IPC IPC(8): G06F16/36G06F17/27
CPCG06F16/367G06F40/289
Inventor 鄂海红宋美娜肖思琪牛佩晴陈忠富张文静
Owner BEIJING UNIV OF POSTS & TELECOMM
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