Article title detection method based on a hierarchical hybrid network and a federated learning strategy

Abstract

The invention discloses an article title detection method based on a hierarchical hybrid network and a federated learning strategy, and the model comprises a title encoder which is used for carrying out feature extraction on article titles and effectively encoding article title texts into title vectors; The content encoder is used for carrying out feature extraction on the content text and effectively encoding the content text into a document vector; The associated information extractor is used for associating the title vector with the document vector by using a machine reading understanding related technology so as to obtain an associated vector of the title vector and the document vector; And the classification network is used for carrying out title codonopsis pilosula classification based on the title feature vectors, the document vectors and the association vectors, and a better title codonopsis pilosula detection effect can be obtained by utilizing the association information between the document titles and the document contents.

Description

technical field [0001] The invention relates to the technical field of machine learning, in particular to a method for detecting headline party articles based on a hierarchical hybrid network and a federated learning strategy. Background technique [0002] At present, the income of most Internet media depends on the number of user clicks. Due to fierce competition, in order to attract users' attention, some media will use an exaggerated and eye-catching title when writing an article. However, when users are attracted by the title and click to watch the content of the article, they are often disappointed. This kind of article with a large gap between the title and the content is called the title party. [0003] In order to reduce the spread of headline partying, people began to study how to use machine learning technology to detect headline partying. A common practice in academia and industry is to treat headline party detection as a text classification problem. Most of t...

AI Technical Summary

Problems solved by technology

However, although the document classification method based on the bidirectional recurrent neural network of the multi-layer attention mechanism performs excellently on most document classification tasks, it does not utilize this part of important information when performing document classification, which is also based on The biggest flaw of bidirectional recurrent neural network document classification method with multi-layer attention mechanism

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