56results about How to "Extraction implementation" patented technology

The invention relates to an entity relationship extracting method of the Zang language. The method comprises the following steps: extracting training linguistic data from the Zang-Chinese text linguistic data information; constructing a Zang word vector model; acquiring an entity relationship characteristic vector from the Zang word vector model; using the entity relationship characteristic vector as an input to construct an entity relationship classification model based on a neural network; and applying multiple layers of characteristic extractions to the entity relationship characteristic vector, thereby finally acquiring a Zang language entity relationship classification. The extraction of the Zang language entity relationship is achieved by constructing the Zang word vector model, researching and solving lexical semantic characteristics and sentence characteristic vector expression methods of the Zang language entity relationship, and further constructing the Zang language entity relationship classification model, accordingly increasing the accuracy in the Zang language entity relationship classification, and providing technical supports and services to the researches in the fields of the Zang language knowledge mapping, question-answering system, information extraction, information search, and the like.

A method for intelligently checking financial documents, a deive and a storage medium are provided in the invention which relates information extraction tecnology. The method comprises: combining natural language processing with information extraction, in the aspect of paragraph text, through effective word segmentation, part-of-speech analysis, named entity recognition, dependency syntax analysisand semantic role analysis, the effect of text information extraction and paragraph text semantic understanding being greatly improved, and the unstructured text data being transformed into structured financial tuples. For tables, use python, the best parser for text tables Docx transforms the table into a data structure that can be processed by computer, then divides the table into regions according to the header information, understands the table semantics, accurately realizes the table element location and element extraction, and transforms the semi-structured table data into structured financial tuples; Finally, the parsed financial structured tuples can be checked with the data of financial statements, and also can be checked for context consistency.

The invention discloses a fault detection and identification method for civil aircraft system based on LSTM-AE depth learning framework and relates to the technical field of condition monitoring and fault diagnosis of complex civil aircraft system, and can be used to realize the monitoring and identification of flight faults. The invention comprises the following steps: selecting time series dataof multi-state parameters of an aircraft in flight under a certain stable condition, and according to the characteristics of the monitored object, the time series data of state parameters under suitable conditions are selected for the training of the system reconstruction model, then the fault-free state of civil aircraft system is modeled and reconstructed by making full use of the long-time series-dependent memory ability of LSTM model. The fault monitoring and identification are realized by further analyzing the reconstruction error of its state parameters. The invention solves the problemof insufficient fault monitoring means of civil aircraft system, utilizes the advantage of deep learning in big data analysis to mine massive operation and maintenance data of civil aircraft, and provides important support for fault monitoring of civil aircraft system and route fault isolation.

The invention provides an entity attribute extraction method and system oriented to an open web page. The method includes the steps: extracting a text of the open web page to obtain a candidate text set of a target entity; extracting the value of a target entity attribute from the candidate text set in a rule-based or statistical-based mode according to the frequency of the target entity attribute in a training text set. Extraction accuracy and recall rate of the entity attribute of the open web page can be improved, and the method is independent of a web page structure and can adapt to change of open web page types.

The invention relates to a theme and semantic meaning-based dialogue corpus keyword extraction method, and belongs to the technical field of natural language processing. The method comprises the following steps of: carrying out combined training on a preprocessed dialogue corpus and a Chinese corpus to obtain a word vector and a theme model; combining a semantic weight, a semantic clustering weight, a part-of-speech weight of a word to finally obtain a weight of the word, and extracting a keyword according to the word weight so as to obtain a keyword in the dialogue corpus extracted on the basis of sematic meaning by utilizing a KSel method=; extracting a keyword through calculating a word frequency and a reverse file frequency by utilizing a TF-IDF method; and taking the keywords extracted by utilizing the KSel method and the TF-IDF method as nodes, establishing a map by taking a semantic similarity between the nodes as an edge, and carrying out map iteration to obtain a final keyword. The method is capable of effectively solving the problem that traditional algorithms neglect the semantic meanings and themes, and considers the word frequency at the same time.

The invention relates to the network live broadcast technology field and particularly relates to a live broadcast information extraction method and device. The method comprises steps that in a live broadcast including a barrage display region, whether an extraction instruction for extracting users sending barrages in the barrage display region exists is determined; if yes, screen capture of a preset region in the barrage display region at the present time is carried out to acquire a first screen capture picture; users of barrages included by the first screen capture picture are extracted and taken as to-be-extracted users; preset-quantity users are extracted from the to-be-extracted users and are taken as target users. The method is advantaged in that the users participating in the barrages are extracted through screen capture, and interactivity between spectators and an anchor is improved.

The invention discloses a contaminated soil in-situ reparation system which is used for repairing the contaminated soil in situ. The contaminated soil in-situ reparation system comprises an extraction well, wherein a seal cover is paved on the ground surface of the contaminated soil; an opening of the extraction well is provided with a gas collecting cover in a sealed mode; an output line of the gas collecting cover is provided with a purification pipeline and a vacuumizing pipeline in parallel; the vacuumizing pipeline is provided with an electromagnetic valve, a vacuum pump, an air blower and an adsorption box; the purification pipeline comprises a purification tank connected to the output pipeline of the gas collecting tank; the pipeline close to the purification tank is provided with an extraction fan; a medicine storage tank is arranged beside the purification tank; the extraction well is internally fixedly provided with a heat insulation pipe which is provided with a heater; a communication lead of the heater penetrates through the heat insulation pipe internally, and extends to a power supply installed outside the ground surface. The system can be used for heating the contaminated soil in the same well, extracting toxic gases, purifying the toxic gases by utilizing a chemical agent so as to purify and repair the contaminated soil in situ.

The invention discloses a text classification and extraction method for Chinese news emergencies, belonging to the natural language processing field. The invention adopts the joint characterization based on the headline and the content information for the news text classification, and integrates the contribution degree of the part of speech to the text classification into the traditional TF-IDF algorithm, the weight of Word2Vec word vector is used to generate short text vector, which avoids the loss of information caused by the single use of title or content and the reduction of classificationaccuracy caused by the different lexical importance of the text. Finally, event instances are extracted by using event-driven news emergency extraction method, It not only overcomes the imbalance between positive and negative examples and data sparseness, but also solves the limitation of pre-defined event categories, and realizes event extraction, which is convenient for journalists and public opinion analysts to use the event extraction results to quickly analyze news.

The invention provides a named entity recognition model training method and device and an information extraction method and device. According to the training texts in the set, entities in the semi-annotation information of the training texts are matched with entities in the corresponding training texts; based on a matching result, an effective named entity label of the corresponding training textis obtained; vector representation of each training text in the training text set is obtained; and based on the vector representation of each training text in the training text set and the effective named entity labeling, a named entity recognition model is trained based on deep learning to obtain a target named entity recognition model.

The embodiment of the invention provides a document-level remote supervision relationship extraction method and system. The method comprises the following steps: acquiring remote supervision data, based on a trained pre-noise-reduction model, carrying out noise reduction processing on the remote supervision data to obtain target remote supervision data, acquiring the trained pre-noise-reduction model by training sample remote supervision data marked as a positive sample and sample remote supervision data marked as a negative sample, and inputting the target remote supervision data into a trained text encoder model to obtain a document level relationship extraction result, wherein the trained text encoder model is obtained by training noise-reduced sample document level remote supervision data. According to the embodiment of the invention, noise reduction is carried out on the remote supervision data in a pre-training mode, noise in the remote supervision data can be effectively filtered out, and the model is pre-trained by utilizing large-scale noise-reduced data, so that document-level remote supervision relationship extraction is realized, and the document-level relationship extraction effect is improved.

The invention provides a remote sensing image change detection method based on dense connection and geometric structure constraint. The method comprises the steps: carrying out the preprocessing of afront-and-back-stage change detection input image, and comprises the calculation of an image normalization parameter, the normalization of a front-and-back-stage image, and the color correction of a back-stage image; dCGC-CD model training and testing are carried out, and change area information extraction is carried out on the remote sensing images in the early and later periods; wherein the DCGC-CD model comprises a front-and-back-stage change feature differential encoding module and a multi-branch geometric structure constraint decoding module, and the front-and-back-stage image change feature differential encoding module comprises a branch for an input front-stage image and a branch for an input back-stage image; the multi-branch geometric structure constraint decoding module comprisesthree branches; wherein the first branch is used for early-stage edge prediction, the second branch is used for change area prediction, the third branch is used for later-stage edge prediction, and the structures of the first branch and the third branch and the structure of the second branch interact through a loss function to effectively constrain a final change detection result through geometric structure information.

The invention provides an information extraction method and device. The information extraction method comprises the following steps: obtaining a to-be-processed document; identifying a text and a table in the to-be-processed document; performing key information identification on the text based on a keyword identification algorithm, and determining document text key information; analyzing characters of cells in the table to obtain key information of the document table; fusing the document text key information and the document table key information, and determining an information extraction result of the to-be-processed document. According to the scheme, not only can the key information of a document text be extracted, but also the key information of a document table can be extracted; in a same to-be-processed document, document text key information and document table key information may be associated, and individual document text key information or individual document table key information may be incomplete, so that the document text key information and the document table key information can be fused to an obtain information extraction result of the to-be-processed document, the information extraction efficiency of the to-be-processed document is improved, and the integrity and accuracy of information extraction can be improved.

The invention discloses a method for identifying and extracting water conservancy spatial relationship words. The method comprises the following steps: acquiring a spatial relationship seed set basedon quantitative statistical characteristics; constructing an original syntax mode; generalizing a syntax mode, and generalizing a plurality of original syntax modes for expressing the same kind of spatial relationship into one mode, so that the number of modes is reduced, and the abstraction degree is improved; and based on the generalized syntax mode, realizing extraction of the spatial relationship. According to the method, the spatial relationship extraction problem in the field of water conservancy is concerned, automatic identification of the spatial relationship, construction of a spatial relationship word set, acquisition of a spatial relationship syntactic mode and extraction of a spatial relationship tuple are realized by utilizing a weak supervision method, and a large amount ofmanpower and time are saved. Water conservancy data resource extraction oriented to the spatial relationship is realized, free texts in the water conservancy field are converted into structured data,and large-scale and professional spatial relationship supplementation is carried out on the atlas, so that more accurate query service is provided for users.

The invention is applied to the field of databases and provides a data extraction method, a data extraction device and a data management system. The data extraction method comprises the following steps: detecting whether basic data which does not establish a mapping relationship with a template account set is present in a sub account set; when detecting that the basic data which does not establish the mapping relationship with the template account set is present in the sub account set, establishing a mapping relationship between the basic data which does not establish the mapping relationship with the template account set and the template account set according to the configured automatic mapping rule; and extracting the basic data in the sub account set according to the mapping relationship. The data extraction method, the data extraction device and the data management system realize automatic data extraction of a database to the sub account set, avoid fussy and repeated manual operation, reduce the error rate and implementing cost, and guarantee timely and complete data extraction simultaneously.

The invention relates to an intelligent administrative law enforcement case information extraction and cause affirmation method. The method comprises the following steps: A, constructing a data set; c, preprocessing and vectorizing extracted data; D, training an extraction model based on a DGCNN; E, generating a short text based on UniLM, and training a generation model; f, inputting a law enforcement document text for prediction: processing an administrative law enforcement document needing to be converted through the steps A to C, inputting an obtained processing result into the trained extraction model, generating an extraction result, storing the extraction result, and further inputting the extraction result into the trained generation model to obtain a short text suitable for analysis of other downstream tasks. According to the method, the DGCNN is adopted as an extraction model, and the information of the text data is extracted by using the non-serialized neural network structure characteristics, so that the consumed time resources and computing resources are greatly reduced, and the extraction accuracy is improved.

The invention discloses an entity attribute extraction method, system and device based on a dictionary and a sequence labeling model. The method comprises the steps of performing word segmentation processing on an input text according to a pre-created dictionary to obtain a text after word segmentation, obtaining attribute names in the text after word segmentation and entities corresponding to theattribute names, and creating one or more data nodes containing the entities and the attribute names; sequentially extracting the attribute name in each data node, defining the label of the attributename as a key; defining labels of other attribute names as NN, combining the label of the defined attribute name, inputting the text after word segmentation into a pre-trained sequence labeling modelto obtain labels corresponding to all words in the text after word segmentation, determining attribute values corresponding to the attribute names according to specific meanings of the labels corresponding to all words, and further obtaining all final entity attribute results containing the entities, the attribute names and the attribute values in the input text.

The invention discloses a webpage text extraction method based on a logic link block, and the method only depends on the current webpage in the process of extracting a webpage template and a text, anddoes not need heuristic rule support, so that the method has good universality; the extraction process of the webpage template does not need manual intervention, and the automation degree is high; the analysis process is simple, and label analysis does not need to be carried out on the webpage, so that the analysis speed is high, the anti-interference performance is high, and the method can better adapt to a Web page with nonstandard design; the method also has a better extraction effect on pages with very short text contents; and finally, the template extracted by the method is simple in form and easy to use. Therefore, it is determined that the method has potential application value in the aspect of Web page text extraction, can be used for text extraction of various news, blogs or webpages with similar structures, and also has wide application prospects in other Web information processing and mining fields with low requirements for link block fine granularity.

The invention relates to a graph attention network-based Chinese financial event automatic extraction method and system, and the method comprises the steps: S1, obtaining the related data of a Chinese financial event and a financial domain dictionary from a related domain website, and carrying out the preprocessing of the obtained data; s2, constructing prototype events, manually marking financial event data of typical categories as seed data, and obtaining prototype events corresponding to each category; and S3, constructing a Chinese financial event automatic extraction model, classifying Chinese financial events to be classified, and extracting event elements. According to the method, small sample data can be utilized to expand Chinese financial event corpora, the problem of scarcity of Chinese event extracted corpora can be solved, and powerful data support is provided for related research; and meanwhile, the event extraction effect can be improved by utilizing the graph attention network and the bidirectional long-short-term memory network, and the prototype event and similarity calculation are combined, so that the demand of the model on the labeled sample can be greatly reduced, and the generalization ability of the model is improved.

The invention discloses an endocrine dyscrasia effusion extractor, which relates to the technical field of medical instruments and comprises a main body, a groove is formed in one side of the main body, a fixed column is fixedly connected to one side of the groove, a gear is movably connected to the other side of the fixed column, a threaded rod is fixedly connected to the other side of the gear, and a limiting block is fixedly connected to the outer surface of the main body. A rotating ring is movably connected to one side of the body, and a limiting groove is formed in one side in the rotating ring. According to the endocrine dyscrasia effusion extractor, the limiting block and the limiting groove are matched with each other, so that the rotating ring can be limited, and the rotating ring can rotate at a fixed position; then the rotating ring rotates to drive the inner gear ring and the gear to be meshed with each other, so that the threaded rod and the threaded hole are driven to be matched with each other, the movable rod can drive the piston to move, so that hydrops can be extracted. According to the invention, a traditional push-pull extractor is changed into a rotating extractor, so that the hydrops extractor can be used more smoothly and more conveniently.

The invention relates to an element extraction method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a to-be-recognized text corpus, inputting the to-be-recognized text corpus to an element extraction model, and carrying out named entity recognition of the to-be-recognized text corpus through a long text element extraction branch of the element extraction model, acquiring a long text extraction result for extraction of long sentences; and performing named entity recognition on the to-be-recognized text corpus through a short text element extraction branch of an element extraction model to obtain a short text extraction result, and performing constraint processing according to the long text extraction result and the short text extraction result to obtain structured data of the to-be-recognized text corpus. The combination of the long text extraction result and the short text extraction result is realized, the element extraction accuracy can be improved to 97% or above, and the problem of element overlapping can be solved.

The invention discloses a method and system for extracting webpage content, and the method comprises the following steps of S1, carrying out content extraction processing based on regular expression matching on a webpage, executing a step S4 when the extraction is judged to be successful, and otherwise, continuing to execute the step S2; s2, performing content extraction processing based on the CSS style on the webpage, executing the step S4 when the extraction is judged to be successful, otherwise, continuing to execute the step S3; s3, performing content extraction processing based on XPathmatching on the webpage; s4, outputting an extraction result. According to the invention, the regular expression, the CSS style and the XPath are combined in sequence to extract the webpage content, the webpage content extraction can be achieved at the fastest speed, and by combining three extraction modes, the accuracy of the extracted webpage content is greatly improved, an effective and accurate extraction result can be provided, and the webpage content extraction method and system can be widely applied to the field of webpage information processing.

The invention discloses an underwater plowing device for river regulation and restoration. The underwater plowing device comprises a body and is characterized in that a water flow driving mechanism is arranged on the upper portion of the interior of a shell, a plowing mechanism is arranged on the lower portion of the interior of the shell, a separating mechanism is arranged on the portion, located on one side of the plowing mechanism, of the lower portion of the interior of the shell, the water flow driving mechanism comprises a clamping assembly and a centripetal extraction assembly, the clamping assembly is arranged on the outer side of the centripetal extraction assembly, and the clamping assembly is in transmission connection with the centripetal extraction assembly; the plowing mechanism comprises a soil loosening assembly and a soil ploughing assembly, the soil loosening assembly is arranged on one side of the soil ploughing assembly, and the soil loosening assembly and the soil ploughing assembly are fixed; and the separating mechanism comprises an extraction assembly, and the extraction assembly is in transmission connection with the soil ploughing assembly. The underwater plowing device has the characteristics that when the water flow speed is high, a riverbed can be plowed in time, the depth of the riverbed is increased, flood is avoided, and garbage deposited at the bottom of the riverbed is collected.

The invention relates to pulmonary hydrops extraction devices, and particularly relates to a pulmonary hydrops extraction device for respiratory medicine. The technical problem is to provide the pulmonary hydrops extraction device for respiratory medicine that can prevent lung infection of a patient and is high in collection efficiency of pulmonary hydrops. According to the technical scheme, the pulmonary hydrops extraction device for respiratory medicine comprises a rubber soft cushion, a device shell, a top cover, an extraction mechanism and a medicine applying mechanism. The device shell is arranged at the top of the rubber soft cushion. The top cover is arranged at the top of the device shell. The extraction mechanism is arranged in the device shell. The medicine applying mechanism is arranged in the device shell. Through cooperation of the extraction mechanism and the medicine applying mechanism, the device can extract pulmonary hydrops , and apply medicine to the patient.

The invention relates to a paint extractor which is used for extracting paint in a container. The paint extractor comprises a support seat, a mounting seat, a roller wheel and a hose pipe, wherein the support seat is provided with an arc-shaped guide part; the mounting seat is rotatably arranged on the support seat; the roller wheel is rotatably arranged on the mounting seat; the hose pipe is provided with an inlet and an outlet and is positioned between the arc-shaped guide part and the roller wheel; the hose pipe is extruded by the roller wheel; the inlet of the hose pipe is arranged in the container, and the outlet of the hose pipe is arranged outside the container; the paint extractor also comprises a power tool which is operationally disconnected with or in match connection with the mounting seat so as to drive the mounting seat to rotate; the roller wheel is driven to repeatedly extrude the hose pipe by the rotation of the mounting seat, so that the paint is extracted. The paint can be extracted without opening a cover of a paint bucket, so that the paint extractor is very convenient to operate. Furthermore, a mouth of the paint bucket is maintained to be clean, so that the trouble of cleaning is greatly eliminated.

The invention discloses a mining system for intelligently extracting data, including a system management module, the system management module is bi-directionally connected with a multi-channel data classification and extraction system, the multi-channel data classification and extraction system comprises a time data classification and extraction module, a data format classification extraction module and a data size classification extraction module, wherein an output end of the time data classification extraction module is connected with an input end of the data format classification extractionmodule, and an output end of the data format classification extraction module is connected with an input end of the data size classification extraction module, which relates to the technical field ofdata mining. The intelligent mining system of extracting data can realize the multi-channel classification extraction of the data to be extracted, and the purpose of increasing the pertinence and accuracy of data extraction is well achieved, so that the user can obtain the required data more quickly and accurately, thus greatly facilitating the data mining work of the user.

The embodiment of the invention relates to the technical field of data processing, and discloses an information extraction method, device and apparatus and a computer readable storage medium, and the method comprises the steps: obtaining to-be-extracted data; determining a word vector matrix corresponding to the to-be-extracted data; determining head entity prediction information according to the word vector matrix and a head entity prediction model; determining intermediate word prediction information according to the word vector matrix, the head entity prediction information and an intermediate word prediction model; determining triple information contained in the to-be-extracted data according to the word vector matrix, the head entity prediction information, the intermediate word prediction information and a tail entity prediction model; wherein the triple information comprises position information and grammatical relations of the head entity, the intermediate word and the tail entity. By means of the mode, the accuracy of information extraction is improved.

The invention discloses an oxygen bomb and an oxygen bomb air exhaust joint. The oxygen bomb air exhaust joint comprises a joint body; a through hole for arranging and sealing the periphery of an oxygen bomb head of the oxygen bomb in a sleeving manner is formed in the middle part of the joint body; and the side wall of the through hole is provided with a joint air pipe which extends in the radialdirection and is arranged in a penetrating way. The oxygen bomb air exhaust joint is suitable for the oxygen bomb assembled by a needle valve with a solid structure and the oxygen bomb head providedwith a connecting air pipe on the side wall, and is used for realizing the vacuumizing operation of the oxygen bomb. During vacuumizing, firstly, the joint body is arranged on the oxygen bomb head ina sleeving manner; then, the needle valve is unscrewed with respect to the oxygen bomb head, so that the oxygen bomb air pipe, the connecting air pipe and the joint air pipe communicate with each other in sequence; and then, the oxygen bomb air exhaust joint is connected with vacuumizing equipment to realize the vacuumizing of the oxygen bomb. After vacuumizing, the needle valve is screwed with respect to the oxygen bomb head, and the oxygen bomb air exhaust joint is taken down. The oxygen bomb air exhaust joint is suitable for the oxygen bomb and the needle valve thereof, and is high in structural strength, corrosion resistance, excellent in tightness and long in service life.

The invention discloses a tumor sampling device convenient for tumor separation. The tumor sampling device comprises a box body, a sample inlet and a sample outlet are formed in the bottom of the tumor collection cylinder in the box body; the collecting needle tube positioned outside the box body is hermetically connected with the sample inlet through a pipeline I; the segmentation disc positioned in the box body is hermetically connected with the sample outlet through a pipeline II; the tumor block segmentation assembly is located in the box body; and the sampling disc is positioned under the outlet of the cutting disc. According to the tumor block cutting assembly, the collected tumor blocks are cut, follow-up treatment of tumor cells is facilitated, vertical reciprocating movement of a cutting blade relative to a cutting disc is achieved, left-right reciprocating movement of the cutting blade relative to the cutting disc is also achieved, and the cutting efficiency is improved. And the segmentation processing effect and the segmentation efficiency are greatly enhanced.

The invention relates to a device (5) and to a corresponding method for separating value documents (2), in particular banknotes, and to a value document processing system, wherein the device (5) has:an input means (4) which is designed to receive a stack (3) of value documents (2), a transport means (6), which is designed to withdraw a value document (2) from the stack (3) of value documents (2)located in the input means (4), and a transport element (7), which is designed to influence the withdrawal of the value document (2) from the stack (3) of value documents (2). Also provided is at least one sensor (8), which is designed to to measure a size of the stack (3) located in the input means (4), in particular a height of the stack (3) and / or a filling level of the input means (4), and a density of the stack (3). A control means is designed to control the transport means (6) and / or the transport element (7) on the basis of the measured size of the stack (3) and / or the measured densityof the stack (3).

The invention discloses an invoice information extraction method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining content information and position information of a plurality of textboxes in an invoice image; for each textbox, constructing textbox features according to content information and position information of the textbox; inputting the textbox features of the plurality of textboxes into a trained textbox classification model to obtain category information corresponding to each textbox; and obtaining content information corresponding to the category information of each textbox. According to the technical scheme of the invention, the accuracy of invoice information extraction under the condition that the position offset of the textbox is large or the number of pure digital texts is large can be improved.