Content title generation method, apparatus and device based on neural network, and computer readable storage medium

Abstract

The invention discloses a content title generation method based on a neural network comprising an encoder-decoder network, and the method comprises the steps: respectively generating vector representation of each type of information in at least two types of information for the content; respectively processing the vector representation of each type of information by using each encoder; processing the output of each encoder by using a decoder to generate one or more title words of the content, and calculating the copying probability of the words by calculating the attention weight of the words in the text by using the decoder, determining whether to copy from words in the text or generate title words from word representations generated after vector representations of the text are processed by an encoder; and generating the content title based on the one or more title words. The invention further discloses a corresponding device and the like.

Description

technical field [0001] The present application relates to title generation, and more specifically, to a neural network-based content title generation method, device, device, and computer-readable storage medium. Background technique [0002] With the rapid development of the Internet, content data such as text, voice, image and video have entered the era of big explosion. In an age of such enormous amounts of data, the speed at which information can be absorbed from content becomes very important. Compared with text and images, audio and video data increase the time dimension, so it is more time-consuming to understand. Audio and video titles convert a video clip into a simple text description, effectively speeding up the understanding of the video. At the same time, through this method, the audio and video retrieval problems are converted into text retrieval problems, which also facilitates the retrieval of targets in massive data. [0003] Generally, long videos have ti...

AI Technical Summary

Problems solved by technology

This method of title creation has many disadvantages, for example, it requires manpower and time costs, and cannot adapt to the massive video update speed. For example, it has a high level of knowledge reserve, literary accomplishment, and user's title style preference for data labelers. requirements, making it difficult to create short video titles, which affects the production efficiency of short videos

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