Semantic recognition method and semantic recognition system
A semantic recognition and semantic technology, applied in the field of semantic recognition, can solve problems such as inability to guarantee information integrity, high recall rate, automatic construction, and difficulty in migration in the field of content update
Active Publication Date: 2020-10-13
PEKING UNIV +2
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Problems solved by technology
[0004] (1) Query word expansion and pseudo-feedback technology can improve the accuracy of retrieval results, but often cannot guarantee the integrity of information and high recall rate;
[0005] (2) The construction of the domain ontology knowledge base relies on expert knowledge and a lot of manual annotation efforts, and there are difficulties in automatic construction, content update, domain migration, etc.
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[0045] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.
[0046] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented by a third party different from the third party described here. Therefore, the protection scope of the present invention is not limited by the following disclosure. limitations of specific examples.
[0047] figure 1 A schematic flowchart of a semantic recognition method according to an embodiment of the present invention is shown.
[0048] Such as figure 1 As shown, the semantic ...
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The invention provides a semantic recognition method and a semantic recognition system. The semantic recognition method comprises the following steps: determining a plurality of reference vocabularies related to a keyword, and a local text adjacent to the keyword; calculating a probability that the reference vocabularies belong to the local text, and marking the probability as a first probability; when it is detected that the first probability of the first reference vocabulary is greater than or equal to a preset probability, determining the semantics related to the first reference vocabulary as the semantics of the keyword, wherein the first reference vocabulary belongs to a plurality of reference vocabularies. By adoption of the technical scheme, the semantic recognition accuracy is improved by in combination with the local match of the keyword and the global semantic judgment keyword.
Description
technical field [0001] The invention relates to the technical field of semantic recognition, in particular to a semantic recognition method and a semantic recognition system. Background technique [0002] With the rapid development of the Internet, especially the ubiquitous penetration of social networks into reality, a large number of user-generated content represented by Weibo has emerged on the Internet. In the face of massive text data, keyword-based retrieval is still an effective means to quickly discover relevant content. However, keywords often have different semantics in different contexts, and keywords alone cannot fully express the user's retrieval needs. For example, if you use the keyword "apple" to retrieve text, some of the returned results belong to the mobile phone industry, and some belong to the agricultural product industry. grow fruit. Therefore, accurately identifying the semantics of keywords is the key to judging the quality of retrieval results. ...
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IPC IPC(8): G06F40/279G06F40/30
CPCG06F40/279G06F40/30
Inventor 刘克松杨建武张丹蔡慧慧马路
Owner PEKING UNIV