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Heterogeneous graph-based text summarization method and device, storage medium and terminal
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A heterogeneous, textual technology
Active Publication Date: 2022-07-26
TONGJI UNIV
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[0004] The technical problem to be solved by the present invention is that the process of generating basic semantic units in the existing graph neural network-based text summary generation method is relatively complicated, only one kind of node is used to construct the graph, and the correlation between sentences is weak, which is not conducive to Generation of extractive summaries
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Embodiment 1
[0060] In order to solve the above technical problems existing in the prior art, an embodiment of the present invention provides a text summarization method based on a heterogeneous graph.
[0061] figure 1 A flow chart of a method for text summarization based on heterogeneous graphs according to Embodiment 1 of the present invention is shown; figure 2 A schematic diagram of a process of a method for text summarization based on a heterogeneous graph in Embodiment 1 of the present invention is shown. refer to figure 1 and figure 2 As shown, the method for extracting text summarization based on a heterogeneous graph according to an embodiment of the present invention includes the following preparation steps.
[0062] Further, in order to more clearly illustrate the specific implementation method of the method for extracting text summarization based on heterogeneous graphs of the present invention, the following definitions are made in advance:
[0063] Definition of senten...
Embodiment 2
[0126] In order to solve the above technical problems existing in the prior art, an embodiment of the present invention provides a text summarization device based on a heterogeneous graph.
[0127] Figure 9 A schematic structural diagram of a text summarization device based on a heterogeneous graph in Embodiment 2 of the present invention is shown; refer to Figure 9 As shown, the heterogeneous graph-based text summarization device of the present invention includes a text heterogeneous graph building module, an update module, a classification weight acquisition module and an abstract generation module which are connected in sequence.
[0128] Among them, the text heterogeneity graph building module is used to fuse the preset knowledge base with the target text, obtain the word features and sentence features of the target text, and build the text heterogeneity graph of the target text based on the word features and sentence features.
[0129] The update module is used to upda...
Embodiment 3
[0134] In order to solve the above-mentioned technical problems existing in the prior art, an embodiment of the present invention further provides a storage medium, which stores a computer program, and when the computer program is executed by a processor, can realize the text based on the heterogeneous graph in the first embodiment. Summary of all steps in the method.
[0135] The specific steps of the heterogeneous graph-based text summarization method and the beneficial effects obtained by applying the readable storage medium provided by the embodiment of the present invention are the same as those of the first embodiment, and will not be repeated here.
[0136] It should be noted that the storage medium includes various media that can store program codes, such as ROM, RAM, magnetic disk or optical disk.
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Abstract
The invention discloses a heterogeneous graph-based text summarization method, device, storage medium and terminal, wherein the method includes: performing knowledge fusion on a preset knowledge base and target text, obtaining word features and sentence features of the target text, and based on word Features and sentence features to construct the text heterogeneity graph of the target text; based on the edge weights and attention weights, the text heterogeneity graph is updated through the graph attention network to obtain an updated version of the text heterogeneity graph; the updated version of the text heterogeneity graph is calculated The multi-category summary index of the sentence vector, and the classification weight of the corresponding sentence vector is calculated according to the multi-category summary index corresponding to each sentence vector; The corresponding sentence labels are obtained based on the weighted sentence features, and a text summary is generated according to the obtained sentence labels. A more direct way of the present invention is to use sentences and words as two types of nodes to construct a heterogeneous graph, and use word nodes as the intermediary of sentences to enrich the association between sentences and transmit information indirectly.
Description
technical field [0001] The present invention relates to the technical field of text generation, and in particular, to a method and device for text summarization based on heterogeneous graphs, a storage medium and a terminal. Background technique [0002] Automatically generating text summaries is an important task in the field of natural languageprocessing, which aims to compress the original text and generate a short description containing the main content of the original text. There are two main research areas: generative and extractive. Generative methods focus on generating summaries verbatim after encoding the entire document, while extractive methods directly select sentences from documents to combine into summaries. Extractive summarization methods are more efficient and generate more readable summaries than generative ones. [0003] The key step in the extractive text summarization task is to establish the relationship between each sentence and the article. At pre...
Claims
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