4 results about "Summary information" patented technology

A system is provided.SOLUTION: This system includes a means for acquiring news information, a means for summarizing the acquired news information, a means for generating a text for explaining the news information summarized by using a plurality of explanatory characters from various viewpoints, a means for generating a moving image by using the explanatory text of the character, and a means for distributing the generated moving image.SELECTED DRAWING: Figure 1

The embodiment of the invention provides an abstract generation method and device and a computer readable medium, and the scheme does not generate abstract information directly based on initial target text content, but firstly obtains key information in the target text content; second question information used for being input into the large language model is generated in a staged mode based on the key information, and the large language model is guided to gradually generate summary information about the target text content by adopting a thinking chain mode on the whole; according to the method, details with finer granularity in the target text content can be integrated into the summary information by the large language model, and meanwhile, the advantages of the large language model in the aspects of language understanding and context understanding are combined, so that the summary information with higher quality can be finally generated.

The application provides an intention context analysis method and device, electronic equipment and storage medium, wherein the method comprises: determining a text to be analyzed and summary information of the text; performing segment division on the text to obtain a plurality of segments, and identifying semantic representations of each of the plurality of segments; obtaining role representations of each of the plurality of segments in the text according to the summary information and the semantic representations of each of the plurality of segments; obtaining a connection relationship between the plurality of segments and intention representations of each of the plurality of segments according to the semantic representations and the role representations of each of the plurality of segments; and obtaining a context analysis result of the text according to the plurality of segments, the role representations, the connection relationship and the intention representations. The accuracy of extraction and analysis of intention context information of a chapter-level article is improved, and a more accurate basis is provided for article evaluation.

The application provides a model training method, a text summary generation method, a device, equipment and a medium. The method comprises the following steps: encoding a training text by using an encoder in a summary generation model to obtain an encoded hidden layer state; determining a second decoding hidden layer state output this time by using a decoder in the summary generation model according to a first decoding hidden layer state output last time and a corresponding first predicted word, or according to a set initial first decoding hidden layer state and a corresponding first predicted word; determining a decoding probability of a second predicted word according to the encoded hidden layer state and the second decoding hidden layer state; and training the summary generation model to maximize the decoding probability in response to the second predicted word being contained in annotated summary information of the training text. Thus, the summary generation model is trained based on the decoding probability of each predicted word and whether each predicted word is contained in the annotated summary information of the training text, so that the prediction effect of the model can be improved.