Aiming at the problems of incomplete characterization of text relations,poor guidance of potential representations,and low quality of model generation in the field of controllable long text generation,this paper propo...Aiming at the problems of incomplete characterization of text relations,poor guidance of potential representations,and low quality of model generation in the field of controllable long text generation,this paper proposes a new GSPT-CVAE model(Graph Structured Processing,Single Vector,and Potential Attention Com-puting Transformer-Based Conditioned Variational Autoencoder model).The model obtains a more comprehensive representation of textual relations by graph-structured processing of the input text,and at the same time obtains a single vector representation by weighted merging of the vector sequences after graph-structured processing to get an effective potential representation.In the process of potential representation guiding text generation,the model adopts a combination of traditional embedding and potential attention calculation to give full play to the guiding role of potential representation for generating text,to improve the controllability and effectiveness of text generation.The experimental results show that the model has excellent representation learning ability and can learn rich and useful textual relationship representations.The model also achieves satisfactory results in the effectiveness and controllability of text generation and can generate long texts that match the given constraints.The ROUGE-1 F1 score of this model is 0.243,the ROUGE-2 F1 score is 0.041,the ROUGE-L F1 score is 0.22,and the PPL-Word score is 34.303,which gives the GSPT-CVAE model a certain advantage over the baseline model.Meanwhile,this paper compares this model with the state-of-the-art generative models T5,GPT-4,Llama2,and so on,and the experimental results show that the GSPT-CVAE model has a certain competitiveness.展开更多
Joseph Heller(1923-1999)’s celebrated novel Catch-22(1961)portrays the predicament of an individual,Captain John Yossarian of the 256th US Army Air Squadron,drifting apart in a helpless prodigious world.The absurdity...Joseph Heller(1923-1999)’s celebrated novel Catch-22(1961)portrays the predicament of an individual,Captain John Yossarian of the 256th US Army Air Squadron,drifting apart in a helpless prodigious world.The absurdity and ludicrousness of the reconstructed world is strengthened by the elements of space in the narrative text.Drawing on Gabriel Zoran’s model of structuring of space within the fictional world,this essay analyzes the three levels of the structuring of space,namely the topographical level,the chronotopic level,and the textual level,and their functions in the novel.Topographical structures magnify the despair and deadly threats prevalent during wartime,whereas chronotopic structures underscore individual’s active endeavours and spiritual renewal in the face of institutional coercion.Textual structures,with three aspects of the text,the essential selectivity of language,the linearity of the text,and the point of view,bring forward the picture of the personal agony embedded in the grand establishment.展开更多
文摘Aiming at the problems of incomplete characterization of text relations,poor guidance of potential representations,and low quality of model generation in the field of controllable long text generation,this paper proposes a new GSPT-CVAE model(Graph Structured Processing,Single Vector,and Potential Attention Com-puting Transformer-Based Conditioned Variational Autoencoder model).The model obtains a more comprehensive representation of textual relations by graph-structured processing of the input text,and at the same time obtains a single vector representation by weighted merging of the vector sequences after graph-structured processing to get an effective potential representation.In the process of potential representation guiding text generation,the model adopts a combination of traditional embedding and potential attention calculation to give full play to the guiding role of potential representation for generating text,to improve the controllability and effectiveness of text generation.The experimental results show that the model has excellent representation learning ability and can learn rich and useful textual relationship representations.The model also achieves satisfactory results in the effectiveness and controllability of text generation and can generate long texts that match the given constraints.The ROUGE-1 F1 score of this model is 0.243,the ROUGE-2 F1 score is 0.041,the ROUGE-L F1 score is 0.22,and the PPL-Word score is 34.303,which gives the GSPT-CVAE model a certain advantage over the baseline model.Meanwhile,this paper compares this model with the state-of-the-art generative models T5,GPT-4,Llama2,and so on,and the experimental results show that the GSPT-CVAE model has a certain competitiveness.
文摘Joseph Heller(1923-1999)’s celebrated novel Catch-22(1961)portrays the predicament of an individual,Captain John Yossarian of the 256th US Army Air Squadron,drifting apart in a helpless prodigious world.The absurdity and ludicrousness of the reconstructed world is strengthened by the elements of space in the narrative text.Drawing on Gabriel Zoran’s model of structuring of space within the fictional world,this essay analyzes the three levels of the structuring of space,namely the topographical level,the chronotopic level,and the textual level,and their functions in the novel.Topographical structures magnify the despair and deadly threats prevalent during wartime,whereas chronotopic structures underscore individual’s active endeavours and spiritual renewal in the face of institutional coercion.Textual structures,with three aspects of the text,the essential selectivity of language,the linearity of the text,and the point of view,bring forward the picture of the personal agony embedded in the grand establishment.
