8 results about "Adnoun" patented technology

This invention relates to the field of information retrieval structure technology, specifically to a method and system for monitoring data during the investment promotion process in industrial parks. The method includes the following steps: extracting investment promotion text, identifying combinations of verbs and resource nouns, analyzing word order and semantic features, filtering action-driven segments, dividing structural sequences and identifying connection relationships, establishing semantic jump paths, reorganizing sentence order, and generating a data monitoring structure template for investment promotion in industrial parks. In this invention, by extracting verbs and resource nouns to construct sentence content, combining word order features and semantic tags to classify and filter segments, dividing structural sequences based on the position of resource nouns and merging content with consistent semantic direction, mapping connectors to jump paths to construct task behavior sequences, and realizing the logical organization and sequential reorganization of sentences, this generates a data expression method with traceability and structured features, improving the semantic recognition efficiency and data monitoring capabilities during the investment promotion process in industrial parks.

The application relates to the technical field of natural language processing, and discloses a Chinese numeral quantifier correction method and system, computer equipment and a storage medium. The application constructs a dynamically expandable collocation word table and a numeral dictionary; performs sentence segmentation, word segmentation and part-of-speech tagging on input text, and identifies a three-element structure composed of numerals, quantifiers and nouns; excludes misjudgments on inherent expressions through a fixed phrase filtering mechanism; performs legality verification on the structure based on the collocation word table, and generates processing information for semantic correction if the verification fails; when collocation abnormalities are confirmed and the dictionary is insufficient, a large language model is triggered to replace the quantifier and adapt to the context based on the processing information, so that a final corrected sentence is generated. Through multi-layer cooperation of rule matching, word table verification and large model verification, the application effectively reduces the mis-correction rate while ensuring high-precision correction, and improves the accuracy and practicality of automatic correction of Chinese quantifiers.

The present disclosure provides a new word screening method and device and electronic equipment, relates to the technical field of data processing, and is used for solving the problem of how to quickly and effectively identify new words in the field of text processing and information mining. The method comprises the following steps: obtaining a text to be analyzed; performing text processing on the text to be analyzed to determine at least one text segment; determining a statistical parameter of each text segment according to the total number of text segments and the total number of each text segment; in the case that the statistical parameter meets a preset condition and the characters contained in the text segment meeting the preset condition are weak words, determining that the characters contained in the text segment meeting the preset condition are new words; wherein the weak words include words that have been used in the target field but are not nouns.

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.

This application provides a method, apparatus, electronic device, and storage medium for constructing a multi-domain knowledge graph, relating to the field of knowledge graph construction technology. The method includes: constructing a text dataset and performing domain filtering based on a pre-selected large language model to obtain domain text datasets for target domains (single-domain, related-domain, and full-domain); further performing sentence segmentation, word segmentation, and part-of-speech tagging; extracting nouns from the segmented word dataset to obtain target entities; performing word segmentation and dependency syntax relation extraction on each sentence in the target domain text dataset, and reconstructing a dictionary list of target dependency syntax relations to extract relationships between different domains; and constructing a multi-domain knowledge graph based on entities and relations. The multi-domain knowledge graph constructed in this application is more comprehensive, accurate, and efficient, requiring no large amounts of data for model training, thus saving significant time, manpower, and computational resources.

Provide a system. 【Solution means】 Speech recognition means for obtaining voice input in real time and converting the voice into character data, Morphological analysis means for morphologically analyzing the character data obtained by the speech recognition means and identifying specific part-of-speech, Information presentation means for obtaining related information and displaying a summary when the user selects the identified noun, Term conversion means for converting technical terms and business terms into general vocabulary, Translation means for performing translation between multiple languages, Information distribution means for providing the translated text information to the on-site staff via an information display device, Situation analysis means for associating visual information and voice reports obtained from a monitoring device to identify abnormal events, A system including the above.

The application discloses a kind of based on template sentence enhancement's paraphrase sentence generation method, steps are as follows: step 1: obtain original sentence, and obtain the target paraphrase sentence of original sentence in parallel corpus, use the method of rule to retrieve 1 sentence from parallel predata with the highest similarity with target paraphrase sentence as optimal sentence as reference;Step 2: different part-of-speech special symbols are used to replace noun, verb, adjective and adverb in optimal sentence to construct template sentence;Step 3: original sentence and template sentence are spliced through special symbol and joint, and the spliced sentence is used as the input of paraphrase generation model, and the paraphrase generation model outputs several paraphrase sentences;Step 4: the similarity of several paraphrase sentences and original sentence in grammatical structure and semantics is calculated, and the highest similarity paraphrase sentence is used as the optimal paraphrase sentence of original sentence.The application avoids the information dependence of model training phase in template sentence by masking the words of related part-of-speech in template sentence.

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.