Method and system for extracting entity relationship by using structural information

A relation extraction and relation technology, applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve the effect of good performance

Inactive Publication Date: 2010-08-11
NEC (CHINA) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, no effective method has been proposed in the current existing prior art that can be used to find these key substructures

Method used

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  • Method and system for extracting entity relationship by using structural information
  • Method and system for extracting entity relationship by using structural information
  • Method and system for extracting entity relationship by using structural information

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Embodiment Construction

[0055] In order to better describe the extraction process of the dependency tree pattern proposed by the present invention, some basic concepts that will be used in the description will be briefly explained below.

[0056] Relation Extraction: Relation extraction is a technique used to discover the relationship between two entities. For example, for the English sentence "Tom works for Microsoft in Seattle.", relation extraction can detect the following two relations: (1) relation 1: ; or (2) relation 2: .

[0057] Dependency tree: A dependency tree is a representation used to present the grammatical relationship between sentence components. For example, taking the above sentence "Tom works for Microsoft in Seattle." as an example, the structure of its dependency tree can be as follows Figure 1A As shown, the part of speech (POS) and embedded relations of sentence components are also annotated.

[0058] Intersection node: The intersection node n of two nodes n1 and n2 on a de...

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Abstract

The invention provides a method and a system for extracting an entity relationship by using structural information. The method comprises the following steps: acquiring a text which comprises a plurality of sentences with marked relationships; acquiring a group of dependency tree modes related to sentence structures in the text; extracting the characteristic of each sentence in the text by referring to the dependency tree modes, wherein the characteristic comprises the structural characteristic of the sentence; collecting the extracted characteristics to train a relationship marking model; and applying the relationship marking model to an unmarked sentence to extract a relationship example. Furthermore, the invention also discloses a process for automatically extracting the dependency tree modes. Compared with the prior art, the relationship extracting system and the relationship extracting method of the invention can realize high performance.

Description

technical field [0001] The present invention relates generally to natural language processing, and more particularly to methods and systems for extracting entity relationships using structural information Background technique [0002] With the continuous growth of digital information and its increasing usability, users have higher and higher requirements for intelligent information analysis, and traditional information retrieval technology has become difficult to meet these requirements. Users expect computer systems to play a more important role in understanding plain text. For example, users need a system that can automatically extract the relationship between entities in text. [0003] Relation Extraction (Relation Extraction, RE) can be used in many fields. For example, it can facilitate the development of question-answering (Q-A) systems by detecting open-domain text and extracting causal relationships from it. For another example, the relationship between genes and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F17/30
Inventor 许洪志胡长建沈国阳
Owner NEC (CHINA) CO LTD
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