4 results about "Noun phrase" patented technology

The application discloses a graph network patent retrieval method based on meta learning IPC classification, comprising constructing a binary classification task of each IPC category on a patent dataset, using a meta learning mode to enable a meta model to learn shared prior of the task, and enabling the model to adapt to a specific IPC category determination task with only a few samples; through IPC level-down sequential hierarchical classification, the IPC category to be determined is circled layer by layer; a graph is constructed based on a noun phrase, and structural information is fused on the basis of semantics to meet the requirement of accurately judging patent similarity.

The method for mapping a noun phrase to a description logic concept based on epitaxy firstly exhaustively lists all text segments of the noun phrase, generates a mapping table of the text segments to resources in a knowledge base; then generates an analysis sequence according to the word segmentation, part-of-speech tagging and syntax tree of the noun phrase; and finally, according to the analysis sequence, continuously refines basic concepts generated by the indexed resources from the concept of EL++, until all words are analyzed, to obtain the description logic concept to which the noun phrase is mapped. The application can automatically process complex noun phrases containing implicit relations and generate high-quality description logic concepts through analysis of the syntax tree.

The application provides a WHO element extraction method in an English news scene, which comprises the following steps: cleaning and preprocessing data of network news, combining an article title, a lead and an article theme into one text data, and analyzing a tree structure of the text data; extracting all nouns in all noun phrases from a subtree of the text data tree structure, screening core words, recalling a core word set, calculating a characteristic value of each core word, and extracting a first core word in a sorting result as a final core word; expanding the core word into a complete element text, traversing leaf nodes corresponding to the core word, and finding simple sentence nodes in a parent node direction, connecting all texts from the simple sentence nodes to the leaf nodes and then to intermediate links, and finally generating the element text; and the application realizes extraction of WHO elements on multiple news samples, has high accuracy, can improve a recall rate of core words, and can expand a recall set.