An event extraction method and related device
An event extraction and event technology, applied in the direction of instruments, computing models, semantic analysis, etc., can solve the problems of lack of attention to event type information and affect the accuracy of event arguments, so as to improve scalability, improve extraction accuracy, and change The effect of length
Active Publication Date: 2022-07-08
粤港澳大湾区数字经济研究院(福田)
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However, due to the complexity and diversity of language, multiple events may be involved in a sentence. However, the existing event extraction methods generally require trigger words for event extraction, and lack of attention to event type information, thus affecting extraction. The accuracy of the event arguments received
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[0057] The present application provides an event extraction method and a related device. In order to make the purpose, technical solutions and effects of the present application clearer and clearer, the present application will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.
[0058] It will be understood by those skilled in the art that the singular forms "a", "an", "the" and "the" as used herein can include the plural forms as well, unless expressly stated otherwise. It should be further understood that the word "comprising" used in the specification of this application refers to the presence of stated features, integers, steps, operations, elements and / or components, but does not preclude the presence or addition of one or more other features, Integers, steps, operati...
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The present application discloses an event extraction method and a related device. The method includes acquiring an event type corresponding to a sentence to be extracted; performing word encoding and position encoding on each word in the sentence to be extracted to obtain a word embedding vector and position corresponding to the sentence to be extracted Embedding vector; the word embedding vector, the position embedding vector and the event type embedding vector corresponding to the event type are added to obtain the target embedding vector, and the event parameters corresponding to each event type are extracted based on the target embedding vector. The present application obtains the target embedding vector by adding the word embedding vector of the sentence, the position embedding vector and the event type embedding vector corresponding to the event type, and then determines the event argument of each event type based on the target embedding vector, and uses the event type as the indication information. Fusion with sentence information can improve the semantic information carried by the target embedding vector, thereby improving the extraction accuracy of event parameters.
Description
technical field [0001] The present application relates to the technical field of natural language processing, and in particular, to an event extraction method and related apparatus. Background technique [0002] With the development of artificial intelligence and deep neural networks, natural language processing technology has been widely used. Among them, event extraction in natural language processing technology can automatically structure the native events generated daily on network media. An event refers to a thing that occurs within a specific time segment and geographical scope, is participated by one or more characters, and consists of one or more actions, and the event is generally sentence-level. The goal of structuring is to identify the event type to which an event belongs, and to extract the event arguments of the event, such as participants, related entities, related times, and related values. However, due to the complexity and diversity of languages, multiple ...
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IPC IPC(8): G06F16/33G06F16/35G06F40/126G06F40/30G06N20/00
CPCG06F16/3344G06F16/3346G06F16/35G06F40/126G06F40/30G06N20/00
Inventor 杨海钦叶俊鹏柳昊良
Owner 粤港澳大湾区数字经济研究院(福田)