Text generation method based on deep learning

Abstract

The invention discloses a text generation method based on deep learning. The method comprises training and testing, and is characterized in that the training comprises the steps: constructing a training set, wherein the training set comprises a plurality of sample pairs composed of preprocessed topics and corresponding texts; defining a generator in advance, wherein the generator is used for generating a text according to an input topic, the training set is used for pre-training the generator, and an attention mechanism and a new historical memory information module are added to encoding and decoding of the generator; defining a classifier in advance, and inputting the text output by the generator and the text in the training set into the classifier for adversarial training; and performingreinforcement learning training on the generator according to the pre-trained loss function defined by the generator and the classifier. The method has a better text generation effect.

Description

technical field [0001] The invention belongs to the technical field of natural language processing, and more specifically, relates to a text generation method based on deep learning. Background technique [0002] The emergence of deep learning has brought the development of artificial intelligence to a new level, and has rapidly had a profound impact in academia and industry. The method based on deep learning has become a mainstream method in the fields of computer vision and natural language processing. In the field of natural processing, methods based on deep learning have also made great progress. For example, in the fields of machine translation, human-computer dialogue, and ancient poem generation, methods based on deep learning have completely surpassed or even replaced traditional machine learning methods. [0003] Automatic writing is an important artificial intelligence technology. The use of artificial intelligence for writing or assisted creation provides human b...

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