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Remote supervision relation extraction method and device

A technology of remote supervision and relationship extraction, applied in biological neural network models, instruments, electrical and digital data processing, etc., can solve problems such as a lot of time and manpower, and achieve the effect of improving relationship recognition and enhancing the effect of entities on information.

Active Publication Date: 2019-09-06
BEIJING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

However, the existing relationship extraction devices are all based on supervised relationship extraction, but devices based on supervised relationship extraction require a large amount of manually labeled data, which not only requires a lot of time, but also requires a lot of manpower

Method used

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  • Remote supervision relation extraction method and device
  • Remote supervision relation extraction method and device
  • Remote supervision relation extraction method and device

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Embodiment Construction

[0029] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate 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 invention and should not be construed as limiting the present invention.

[0030] The following describes the remote supervision relationship extraction method and device according to the embodiments of the present invention with reference to the drawings. First, the remote supervision relationship extraction method according to the embodiments of the present invention will be described with reference to the drawings.

[0031] figure 1 is a flow chart of a remote supervision relation extraction method according to an embodiment of the present invention.

[0032] Such as figure 1 As shown, the remote s...

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Abstract

The invention discloses a remote supervision relation extraction method and device. The remote supervision relation extraction method comprises the following steps: generating an entity recognition training data set through a bootstrapping algorithm, and carrying out recognition on an entity of a sentence through a crf + + tool; generating an entity relation extraction training data set through aremote supervision method, and generating an entity relation extraction data set through a relation knowledge base and a natural language corpus; and carrying out entity relationship extraction on theentities of the sentences based on a cyclic segmented convolutional neural network and a sentence embedding module. According to the remote supervision relation extraction method, training data can be automatically marked through natural corpus, and entity recognition and entity relationship extraction are completed.

Description

technical field [0001] The invention relates to the technical field of natural language processing, in particular to a method and device for extracting remote supervision relations. Background technique [0002] With the rapid development of the Internet today, it is an era dominated by information and big data. How to extract the content of concern in the era of information explosion is very important. The research on information extraction aims to provide people with more powerful information acquisition tools to deal with the information explosion. serious challenge to come. At present, the most commonly used method in the company is to train the relationship extraction model through a supervised method, but the supervised relationship extraction model mainly relies on manually labeled data, which is time-consuming and laborious. Therefore, the academic community has proposed a remote supervised relationship extraction method. Label training data to solve the problem of ...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F16/33G06F16/35G06F17/27G06N3/04
CPCG06F16/367G06F16/3344G06F16/355G06F40/279G06F40/30G06N3/045
Inventor 鄂海红宋美娜周筱松陈忠富牛佩晴张文静
Owner BEIJING UNIV OF POSTS & TELECOMM
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