Research On Controlled Text Generation Algorithm

In recent years,artificial intelligence content generation(AIGC)has become a hot topic of concern in both academia and industry.Text generation,as a subfield of AIGC,has also received widespread attention.Text generation technology is an important research direction in the field of natural language processing and can be used in many application scenarios,such as automatic text summarization,machine translation,intelligent customer service,speech recognition,etc.Through the training of deep learning models,text generation technology can generate high-quality,natural and fluent text,which plays an important role in improving work efficiency,reducing labor costs,and improving user experience.Therefore,researching and exploring the development trends and application value of text generation technology is of great significance for promoting the development and promotion of natural language processing technology.This paper mainly focuses on the research of story generation and proposes a story generation model based on multi-granularity control constraints.The model controls constraints at both the token-level and sentence-level,solving the problems of inconsistent plots and contradictions in generating stories.The experimental results on public story datasets show that the proposed model has better generation performance compared to the baseline model,and is superior to the baseline model in both automated metric evaluation and human evaluation.In addition,to make the generated stories more diverse,this paper also proposes a sentiment control-based generation method.By introducing a sentiment score extractor and a sentimental generator,the model can generate stories that express emotions consistent with the input sentiment scores,and the analysis results of the generated cases prove the effectiveness of this control method.To better demonstrate the effectiveness and practicality of the proposed method in this paper,an AI-assisted writing system is also designed and implemented.The algorithm of the system is based on the multi-granularity control-constrained generation model mentioned above,and combined with relevant front-end and back-end technologies to implement web design and display.The system realizes a one-stop writing platform that can generate text according to user input and requirements.