78 results about "Organization Name" patented technology

A method and apparatus for segmenting text is provided that identifies a sequence of entity types from a sequence of characters and thereby identifies a segmentation for the sequence of characters. Under the invention, the sequence of entity types is identified using probabilistic models that describe the likelihood of a sequence of entities and the likelihood of sequences of characters given particular entities. Under one aspect of the invention, organization name entities are identified from a first sequence of identified entities to form a final sequence of identified entities.

An organization's data records are often noisy: because of transcription errors, incomplete information, and lack of standard formats for textual data. A fundamental task during data cleansing and integration is matching strings—perhaps across multiple relations—that refer to the same entity (e.g., organization name or address). Furthermore, it is desirable to perform this matching within an RDBMS, which is where the data is likely to reside. In this paper, We adapt the widely used and established cosine similarity metric from the information retrieval field to the relational database context in order to identify potential string matches across relations. We then use this similarity metric to characterize this key aspect of data cleansing and integration as a join between relations on textual attributes, where the similarity of matches exceeds a specified threshold. Computing an exact answer to the text join can be expensive. For query processing efficiency, we propose an approximate, sampling-based approach to the join problem that can be easily and efficiently executed in a standard, unmodified RDBMS. Therefore the present invention includes a system for string matching across multiple relations in a relational database management system comprising generating a set of strings from a set of characters, decomposing each string into a subset of tokens, establishing at least two relations within the strings, establishing a similarity threshold for the relations, sampling the at least two relations, correlating the relations for the similarity threshold and returning all of the tokens which meet the criteria of the similarity threshold.

This invention describes a system that allows a user to enter domain names in any language of the user's preference by automatically converting them into the corresponding real domain names in English that comply with the Domain Name System. The system incorporates two conversion methods. The first method is to convert the coded portions of a domain name such as organization code and country code. In this method, each coded portion in English is pre-assigned an equivalent word or code in the user's preferred language, and the equivalent word or code entered in the user's preferred language is converted into the corresponding real coded portion in English. The second method is to convert the remaining portions of a domain name such as organization name and server computer name. In this method, the user enters each portion in the user's preferred language as the corresponding real portion in English is transliterated into the user's preferred language in accordance with the standard pronunciation of English words or letters in the user's preferred language. Then, the letters of the portion entered in the user's preferred language are converted into English letters by matching the phonemes of the portion entered in the user's preferred language with English phonemes that have the same or proximate sounds and transcribing the English phonemes into the corresponding English letters. The conversion system of the present invention can be implemented automatically at the user's computer without having to change the Domain Name System.

A named entity discriminating system capable of discriminating names entities such as location names, personal names, and organization names in text with a high degree of accuracy is provided. A reading means reads text from a hypertext database. A single text analyzing means analyzes each text read by the reading means and detects candidates for the named entity in the text. A complex text analyzing means estimates the likelihood of the candidate named entity detected by the single text analyzing means by an analysis with reference to referring link text or linked text of the text in which the candidate named entity appears.

Provided is a question answering method facing a specific field. The invention relates to the question answering method facing the specific field. The goal is to solve a problem that in the prior art, identification of entities such as personal name, geographic name and organization name is accurate, but identification of proper names in the specific field is inaccurate is inaccurate. The process comprises a first step of constructing a word list in a specific field, and utilizing the word list to segment input questions; a second step of performing question analysis on the input questions having been divided; a third step of performing semantic questions and character string layer extension on question components, and obtaining answer candidate words; a fourth step of performing answer candidate word-attribute retrieval in a knowledge base, and obtaining answer candidate paragraphs; and a fifth step of screening candidate answer sentences from the answer candidate paragraphs. The question answering method is used for question answering in the specific field.

The invention provides a Chinese business card OCR (optical character recognition) data correction system utilizing massive associated information of a knowledge base. The Chinese business card OCR data correction system comprises an image collection module, an image standardized processing module, a block extracting module, an OCR module, a knowledge base module, a data correction module, a gain maintaining module and a result displaying module. The system is characterized in that to-be-corrected data are labeled by subjecting recognition results of the OCR module to information structuralized processing; address and organization name associated information is corrected by utilizing the massive associated information of the knowledge base module and combing a series of techniques like Chinese word segmentation, importance weighting based on the knowledge base, similarity comparison based on texts and images and information integration to improve accuracy; corrected OCR results are output and displayed. In addition, the gain maintaining module of the system performs information maintaining on the knowledge base in a semiautomatic manner to meet needs of continually-growing of information quantity.

The invention relates to a method and device for translating a Chinese organization name into English. The method for translating the Chinese organization name into English comprises the following steps: dividing the Chinese organization name to be translated into English into four language chunks by using a word-based conditional random field model, and carrying out word segmentation to the fourlanguage chunks; selecting a plurality of phrases with certain information and translation confidence for statistical translation to obtain the translation results of the phrases of the organization name and form a bilingual inquiry with the Chinese organization name to be translated into English; searching the bilingual inquiry with a search engine to obtain the segments of a plurality of Chinese-English mixed webpages; extracting the English in the segments of the Chinese-English mixed webpages and selecting the segment which has the highest matching rate with the Chinese organization name in English sentences with the aid of the asymmetrical Chinese-English aligning technology; and determining an optical segment as the translation of the Chinese organization name by calculating the occurrence frequency of each segment. The method for translating the Chinese organization name into English overcomes the defect that a statistical translating model is prone to the structure, order and phrase selection errors during the Chinese organization name translation and improves the Chinese organization name translation precision by 35.26 percent.

A system, method, and apparatus are provided for disambiguating organization names. Selected names that are shared among multiple organizations may or may not be categorized or characterized (e.g., by industry, by size, by reach). As content items are received (e.g., news stories, magazine articles, social media content), occurrences of the selected names are identified. Each item that includes at least one name is processed to determine which of the multiple entities that have the name (if any) is the organization referenced or mentioned in the item. The same model may be applied to disambiguate all names or, depending on the name's categorization, different models or procedures may be applied to disambiguate the name.

The invention discloses a public opinion smart supervision method and a public opinion smart supervision system. The public opinion smart supervision method provided by the invention comprises the steps of S1, obtaining network public opinion texts by employing keyword lists and network public opinion website lists correlated to city emergency events; S2, analyzing the public opinion texts, thereby obtaining subjects and objects in the emergency events and emergency event characteristic identifiers; S3, carrying out semantic similarity evaluation analysis on the subjects and objects in the emergency events and the emergency event characteristic identifiers, clustering the network public opinion texts and determining hot event classes to which the network public opinion texts belong; and S4, output a clustering result and the determined hot event classes to which the network public opinion texts belong. Through application of the method, vocabularies such as geographic names, names and organization names with high event characteristic representation can be identified rapidly and accurately and the described public opinion events can be depicted deeply and carefully.

The invention belongs to the field of the processing of a natural language, and particularly relates to a user search string organization name recognition method based on a semantic feature model. The method comprises a treatment process of a model establishment stage and a recognition stage. The method comprises the steps of establishing a training language database conforming to the distribution of user search strings by utilizing the existing a long text marking language database at the model establishing stage, wherein the semantic database is used for storing the features of traditional participle and part-of-speech tagging and is additionally provided with a context feature in the search string and a cohesive feature correlated semantic environment feature, establishing a condition random field model according to the composite semantic feature, and adopting the random condition field model as an organization name recognition model; calculating the semantic environment feature corresponding to the user search string to obtain a model sequence of the user inquiry string, extracting the model sequence conforming to the organization name, and obtaining an organization name in the user search string. By adopting the method, the accuracy and recall rate for recognizing the organization name in the user search string can be comprehensively improved.

The invention discloses a multilingual information extraction method adopting a hierarchical pipeline filter system structure. In the method, the linguistic material to be processed is identified by a multilingual automatic identifying member; then four simple named entities, which are time, date, percent and amount of money, are identified by a simple named entity identifying member; a person name and a place name are extracted by a person name and place name identifying member; then, participialization is performed by a lingual independent participializing member; part-of-speech tagging is performed by a part-of-speech tagging member; an organization name is identified by an organization name identifying member; and the longest noun phrase is identified with a longest noun phrase identifying member. The method provides a practical basic framework for an information extraction system, so that the problems of reusing and generalization of a plurality of overlapped algorithms are solved successfully; reusability, maintainability and extensibility of software is improved; and the research and development efficiency of the information extraction system is improved.

The invention discloses an organization name acquiring method and device, and belongs to the field of information extraction and text mining. The method comprises the following steps: marking an organization name included in a non-structured text file through a word segmentation system and an entity identification system; determining whether the organization name is the full name of the entity mechanism according to a suffix model which comprises a suffix name of at least one entity mechanism; acquiring words which are in front of the organization name and meet preset conditions if the organization name is not the full name of the entity mechanism; and forming the full name of the entity mechanism through the obtained words and the organization name. The device comprises a marking module, a determining module, an acquiring module and a forming module. With the adoption of the method and the device, the organization name identification accuracy can be improved.

The invention relates to the technical field of network data communication and discloses a device and a method for identifying an organization name by a word segmentation program. The device comprises a storage module, a word segmentation module, an identification module and an output module, wherein the storage module is applicable to data storage, the word segmentation module is applicable in segmenting words in a sentence to be identified by an entry dictionary in order to obtain entries in the sentence to be identified; the identification module is applicable in extracting the entries which can satisfy a relevant word property of the preset organization name and is found in a word property dictionary from the entries obtained from word segmentation, can splice the extracted entries according to connection rules of the preset relevant word property, takes a spliced entry as a candidate organization name and adds the entry into a candidate set, and selects an entry satisfying output conditions of the preset organization name from the candidate set; and the output module is applicable in taking the selected entry as the organization name and outputting the entry. The device and the method for identifying the organization name by the word segmentation program provided by the invention can solve and realize the problem of extracting the organization name from a text and obtain the beneficial effect of automatically extracting the organization name from the text.

The invention provides an incident location extraction method oriented to Chinese news texts. According to the method, firstly, character segmentation is conducted on the Chinese news texts T through an ICTCLAS Chinese character segmentation tool, and characters with the property being organization names, location nouns and place names are selected to form a candidate incident location set; for each character in the candidate incident location set, a three-dimensional feature vector including the context feature, the position feature and the topology feature is established; finally, through the established three-dimensional feature vectors, a Random Forest classifier is adopted to conduct two-value classification on all the characters in the candidate incident location set according to the incident locations and the non-incident locations, and thus extraction of the incident locations is achieved. According to the method, multiple types of features in the news texts can be utilized comprehensively, the context features, the position features and the topology features are extracted to form the feature vectors, the Random Forest classifier is adopted to obtain the organization names, the location nouns and the place names form the segmented characters so as to recognize the incident locations; the places where news events occur can be further recognized based on place name identification.

A method for translating name of Chinese organization based on word block includes carrying out division on words block according to structure of name for Chinese organization and finalizing translation process of words block and order regulation process of words block by simultaneously and synchronously applying derivation of content independent grammar.

The invention discloses a Chinese organization name abbreviation recognition system adopting context feature matching. The system is characterized by including firstly, training to obtain an organization name unique feature set and an intersected feature set of distractor word context features and organization name context features; adopting the features for recognizing abbreviations of organization names; screening the abbreviations of the organization names by means of setup of a distractor word list and extended operations. The Chinese organization name abbreviation recognition system adopting context feature matching has the advantages that recognition of the abbreviations is independent of full names of organizations and composition forms of the abbreviations of the organization names, and the abbreviations of the organization names can be recognized only according to the context features of the organization names.

The invention discloses a method and device for extracting organization names based on semantic information. The device comprises an abbreviation dictionary construction module, a word clustering module, a CRF training module and a CRF recognition module. According to the method and device for extracting organization names based on semantic information of the invention, compared with the prior art, a device for extracting organization names based on semantic information is provided, and a method for automatically establishing organization name dictionaries by means of the Wikipedia is provided; a cluster algorithm based on graphs is used for clustering words and class characteristics of words are used as semantic characteristics; the graph clustering algorithm CW is improved and the concussion problem is solved; test corpora containing large quantity of unregistered organization names are established which is more persuasive. Compared with present best open source tools, F1 value of the device of the invention is increased by about 8%.

The invention relates to a method for identifying Cambodian organization names and belongs to the technical field of natural language processing. According to the method, firstly, an extracted Cambodian text is segmented; word segmentation and part of speech tagging are performed on the segmented sentences; through manual checking, then Cambodian named entities are marked to obtain a considerable scale of Cambodian organization name corpus; named entity indicating words are extracted through the marked corpus to build an indicating word library and feature templates; through improved Tri-training algorithm learning, an organism name identification model is obtained; the selected test corpus is trained through the organism name identification model to obtain mark results of the organism names. By means of the method, Cambodian organization names can be effectively identified and the method provides support for works such as information extraction and machine translation; currently, there is no report of Cambodian organization name identification; the method of the invention has good effect.

The present invention discloses a method and system for acquiring a shortened name of an organization name based on website homepage information. According to the method, homepage information of a website of an organization is used to acquire a shortened name, so that a commonly-used shortened name of a related organization can be acquired efficiently in a targeted manner; the shortened name of a name of the organization can be acquired without using anchor text information, so that the method is a replenishment for a method for determining a shortened name of an organization name using an anchor text; and a similarity degree between a shortened name and a full name can be calculated, so that a relatively high accuracy rate is achieved in the aspect of shortened name acquisition.

The invention relates to a related transaction identification method and device, a computer device and a storage medium. The method comprises the steps that related lists uploaded by multiple first terminals are received, wherein the related lists comprise organization names of organizations and relates parties and supervision departments which correspond to the organizations; source database names corresponding to the organizations are obtained according to the organization names, and business data of a source database is synchronized to a target database in real time according to the sourcedatabase names; related transactions are extracted by means of the related parties and the business data which correspond to the organizations in the target database; whether to-be-disclosed related transactions corresponding to the supervision departments exist or not is identified in the related transactions; if yes, disclosure information corresponding to the to-be-disclosed related transactions is generated; the disclosure information is sent to a second terminal, and the second terminal is used for disclosing the disclosure information. By means of the method, the related transactions canbe disclosed in time.

The invention discloses a point-of-sale (POS) terminal positioning method and a POS terminal positioning device. The method comprises the steps of receiving a bankcard consumption record of a user on a first POS terminal; looking up a physical location corresponding to the first POS terminal according to the organization name corresponding to the first POS terminal; if the unique corresponding physical location of the first POS terminal is not found, determining a first adjacent POS terminal set of the first POS terminal from a preset sequential consumption network by using the code of the terminal; and determining the unique corresponding physical location of the first POS terminal according to the adjacent relation between the first POS terminal and each adjacent POS terminal in the first adjacent POS terminal set. According to the method and device disclosed by the invention, the problem that in the prior art the specific address of the POS terminal cannot be precisely determined via the name of the POS terminal is solved.

The invention discloses an application management and rapid deployment method in a cloud platform, and belongs to the field of cloud technology application. The method comprises the particular steps of (1) relation of cloud providers and building and mapping of related resources, wherein a management IP or a host name, an organization name, a login name, a password and a vdc of each cloud provider are added to a system; (2) planning, design and generation of a deployment blueprint, wherein multiple applications are built according to the need of a user; (3) implementation of application deployment, wherein a deploy is generated according to the built blueprint, a vdc needing to be deployed is selected, the deployment is executed, and resource building of the deployment in a corresponding virtual data center of the cloud providers is finished. The application management and rapid deployment method is provided according to the technology, a manager can plan and manage the application deployment conditions of cloud resources globally, a deployment scheme meeting the needs of the user can be rapidly made conveniently and flexibly, and deployment operation is carried out automatically.

The invention discloses an information processing method and device and a method and device for standardizing organization names. The information processing method comprises the steps of dividing organization names, wherein the organization names are divided into multiple levels of sub organization names according to the semantic characteristics of the organization names; analyzing subordinate relation, wherein the subordinate relation between the multiple levels of sub organization names is analyzed so as to obtain the internal organization relation of the organizations relates to the organization names; analyzing equal relation, wherein the equal relation between the organization names is analyzed by utilizing public information sources; storing organization name, wherein the relation between the organization names and the internal organization structure and the equal relation are stored in a relevant mode so as to establish a knowledge library in the organization name storage step. According to the information processing method and device and the method and device for standardizing organization names, the organization names can be standardized more efficiently and accurately, and therefore unified management and rapid retrieval of documents are facilitated.

The invention provides a multi-feature-fused controlling method for recognizing Chinese organization name in a natural language processing system. The method is characterized by comprising the following steps of: a. recognizing left and right boundaries of a statement to be recognized according to a right boundary feature word library of a Chinese organization name and a left boundary rule of the Chinese organization name, and generating candidate Chinese organization names; b. determining a composing mode of candidate Chinese organization names, and screening the candidate Chinese organization names; and c. comparing feature words in a context semantics environment of the Chinese organization names, and verifying the candidate Chinese organization names so as to determine the Chinese organization names.