Chinese event extraction method

A technology of event extraction and Chinese, applied in the field of natural language processing and information extraction, can solve problems such as incomplete matching of words, achieve the effect of overcoming feature dependence and improving accuracy

Active Publication Date: 2017-09-01
PEKING UNIV
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Problems solved by technology

[0011] The present invention provides a method for event extraction using neural network and conditional random field, which simultaneously solves the problem of incomplete match between event trigger words and words in text in Chinese event extraction, and improves the accuracy of Chinese event extraction
[0012] In the first aspect, the present invention provides a solution to the problem of incomplete matching between event trigger words and words in the text

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  • Chinese event extraction method
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Embodiment Construction

[0062] The technical solutions in the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings in the embodiments of the present invention. It should be noted that the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0063] The example of the present invention is based on the Chinese event evaluation task of ACE 2005. Those skilled in the art should clearly understand that other similar corpora for event extraction based on predefined templates, such as TAC-KBP, can also be used in the specific implementation process 2016 Chinese event evaluation dataset.

[0064] figure 1 It is a frame diagram of an event extraction method based on a neural network and a conditional rand...

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Abstract

The invention discloses a Chinese event extraction method. The method comprises the following steps of: 1) carrying out entity identification on a to-be-extracted Chinese text, taking identified entities as candidate words of event elements, labeling the Chinese text word by word, and identifying an event triggering word in the Chinese text and event types described by the Chinese text by combing a labeling mode according to the labeling result; 2) inputting the Chinese text, the candidate words of the event elements, the event triggering word and the event types into a classification model, and judging whether each candidate word is a real event element or not; and 3) obtaining a whole event structure according to the obtained event elements, the event triggering word and the event types so as to complete event extraction. According to the method disclosed by the invention, the problem that the event triggering word is not completely matched with the words in the text in the Chinese event extraction is solved, and the correctness of the Chinese event extraction is improved.

Description

technical field [0001] The invention mainly relates to the field of natural language processing, in particular to a method for extracting Chinese events by using a neural network and a conditional random field, and belongs to the technical field of information extraction. Background technique [0002] With the popularization and development of the Internet, the scale of information in the network is growing explosively. How to find the required information in a timely and accurate manner from massive natural language documents has become increasingly urgent. Information extraction technology (Information Extraction, IE) extracts specified types of factual information such as entities, relationships, events, etc. from loose, unstructured ordinary text, and outputs structured data. Among them, Event Extraction is one of the most challenging tasks in information extraction research. It mainly studies how to extract the basic information of events from unstructured natural langu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/3344G06F16/335G06F16/36G06F40/284G06F40/295G06F40/30
Inventor 曾颖杨宏辉冯岩松贾爱霞赵东岩
Owner PEKING UNIV
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