Entity disambiguation method and device based on intention recognition model and computer equipment
A technology for identifying models and intentions, applied in the computer field, can solve problems such as accuracy dependence, insufficient accuracy, and accuracy that needs to be improved
Active Publication Date: 2020-04-28
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology
The accuracy of the current entity disambiguation scheme is insufficient. For example, entity linking is used for disambiguation. It is necessary to link the name entity to be disambiguated to the corresponding entity in the external knowledge base for disambiguation, so the accuracy depends on the records of the external knowledge base. , the accurate identification of entities in different contexts is not accurate enough
Therefore, the accuracy of the current entity disambiguation needs to be improved
Method used
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[0055] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.
[0056] refer to figure 1 , the embodiment of the present application provides an entity disambiguation method based on an intent recognition model, including the following steps:
[0057] S1. Obtain the first sentence to be disambiguated, and perform ambiguity labeling processing on the first sentence according to a preset ambiguity labeling method, so as to obtain ambiguous entity words in the first sentence;
[0058] S2. According to the preset standard sentence selection method, select the specified standard sentence from the preset standard sentence database;
[0059...
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The invention discloses an entity disambiguation method and device based on an intention recognition model, computer equipment and a storage medium, and the method comprises the steps: obtaining a to-be-disambiguated first sentence, and obtaining an entity word marked as ambiguity in the first sentence; selecting a specified standard sentence; calculating a first distance between the first sentence and the specified standard sentence; if the first distance is smaller than a first distance threshold, acquiring a specified intention recognition model; inputting the first sentence into the specified intention recognition model to obtain a recognition result, the specified intention recognition model being formed by training sample data, and the sample data being only composed of sentences marked as specified type intentions; and if the identification result is that the identification is successful, obtaining a specified entity meaning corresponding to the first sentence, and marking the entity word with the specified entity meaning. In this way, in the disambiguation process, a new dimension (intention recognition) is introduced, and therefore the accuracy of entity disambiguation isimproved.
Description
technical field [0001] The present application relates to the field of computers, in particular to a method, device, computer equipment and storage medium for entity disambiguation based on an intent recognition model. Background technique [0002] Entity disambiguation is a key task in natural language processing. Since entity references (such as nouns) in massive data can usually correspond to multiple named entity concepts, this undoubtedly poses a great obstacle to entity disambiguation. The task of entity disambiguation is to match these ambiguous entity references to the corresponding target entities among many candidate entities. The accuracy of the current entity disambiguation scheme is insufficient. For example, entity linking is used for disambiguation. It is necessary to link the name entity to be disambiguated to the corresponding entity in the external knowledge base for disambiguation, so the accuracy depends on the records of the external knowledge base. , ...
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IPC IPC(8): G06F40/295G06F40/126G06K9/62
CPCG06F18/22
Inventor 张师琲
Owner PING AN TECH (SHENZHEN) CO LTD