37 results about "Document summarization" patented technology

Certain embodiments of the present invention provide systems and methods for information composition and query enhancement. Certain embodiments provide an information composition and query enhancement system. The system includes a query generation and enhancement engine generating and conducting a query of one or more data sources based on user input and a data context to produce query results. The system also includes an information composition engine assembling the query results to provide a bundle of documents meaningful to the particular user. The system further includes a document summarization engine clustering and summarizing the bundle of documents to provide a content summary in addition to the bundle of documents for output in a presentation to a user.

A system for generating a summary of a plurality of documents and presenting the summary information to a user is provided which includes a computer readable document collection containing a plurality of related documents stored in electronic form. Documents can be pre-processed to group documents into document clusters. The document clusters can also be assigned to predetermined document categories for presentation to a user. A number of multiple document summarization engines are provided which generate summaries for specific classes of multiple documents clusters. A summarizer router is employed to determining a relationship of the documents in a cluster and select one of the document summarization engines for use in generating a summary of the cluster. A single event engine is provided to generate summaries of documents which are closely related temporally and to a specific event. A dissimilarity engine for multiple document summary generation is provided which generates summaries of document clusters having documents with varying degrees of relatedness. A user interface is provided to display categories, cluster titles, summaries, related images.

The invention relates to a method which extracts the abstracts and key words of a file at the same time, belonging to language words processing technique. The existing method takes the extraction of abstracts of the file and the extraction of the key words of the file as two irrelative tasks and respectively processes the two tasks which have the same nature; the method can utilize the same nature of the extraction and completes the extractions of the abstracts and key words at the same time. The method utilizes a figure learning model and comprehensively utilizes the relationships between sentences in the file, between the sentence and the words in the file, and between the words in the file, exactly evaluates the importance of the sentences and the words, and finally adopts the important sentences and words as the abstracts and key words of the file. The method can extract the abstracts and key words of the file at the same time on the one hand, and can gain a better effect of the extraction of abstracts and key words on the other hand; the method can be widely applied to the fields such as text information processing and digging and the like.

Systems, methods, and other embodiments associated with automatically summarizing a document are described. One method embodiment includes computing term scores for members of a set of terms in a document to be summarized and computing sentence scores for sentences in a set of sentences in the document. The method embodiment also includes computing a set of entries for a term-sentence matrix that relates terms to sentences. The method embodiment also includes computing a dominant topic for the document and simultaneously ranking the set of terms and the set of sentences based on the dominant topic. The method embodiment provides a summarization item(s) selected from the set of terms and/or the set of sentences.

The invention discloses a topic model based document keyword extraction method and system. The document keyword extraction method comprises the following steps of document information preprocessing, document structure graph construction, document topic distribution extraction, word weight extraction and keyword generation. The document keyword extraction system comprises the following modules: a document information preprocessing module, a document structure graph construction module, a document topic distribution extraction module, a word weight extraction module and a keyword generation module. According to the method and system, extracted keywords are more reasonable and related to a topic of a document more closely; and partial deficiencies in the keyword extraction field at present are overcome, a better document summarization effect is achieved, and a user can conveniently and quickly know an abstract of the document.

The present invention discloses a pre-processing summarization technique that makes use of knowledge specific to the electronic mail domain to pre-process an electronic mail message so that commercially-available document summarization software can subsequently generate a more useful summary from the message. The summarization technique removes extraneous headers, quoted text, forward information, and electronic signatures, leaving more useful text to be summarized. If an enclosing electronic mail thread exists, the summarization technique uses the electronic mail message's ancestors to provide additional context for summarizing the electronic mail message. The disclosed system can be used with IBM Lotus Notes and Domino infrastructure, along with existing single-document summarizer software, to generate a summary of the discourse activity in an electronic mail thread dynamically. The summary may be further augmented to list any names, dates, and names of companies that are present in the electronic mail message being summarized.

The invention provides a method and a device for generating a document summarization. The method comprises the following steps: obtaining a document, processing the document by utilizing preset characteristics to obtain a summarization candidate sentence, wherein the preset characteristics comprise keywords, numbers and one or a plurality of sentences and subtitles which are far away from a title contained in the document for a preset range; carrying out compression processing to the summarization candidate sentence; and carrying out postprocessing on the summarization candidate sentence subjected to the compression processing to generate the document summarization. The summarization generated by the method and the device, which are disclosed by the embodiment of the invention, for generating a document summarization is concise and accurate, no redundant information exists in the summarization, a generation process is simple and does not need artificial participation, time for generating the document summarization can be greatly shortened, and efficiency on generating the document summarization is improved.

The present invention discloses a pre-processing summarization technique that makes use of knowledge specific to the electronic mail domain to pre-process an electronic mail message so that commercially-available document summarization software can subsequently generate a more useful summary from the message. The summarization technique removes extraneous headers, quoted text, forward information, and electronic signatures, leaving more useful text to be summarized. If an enclosing electronic mail thread exists, the summarization technique uses the electronic mail message's ancestors to provide additional context for summarizing the electronic mail message. The disclosed system can be used with IBM Lotus Notes and Domino infrastructure, along with existing single-document summarizer software, to generate a summary of the discourse activity in an electronic mail thread dynamically. The summary may be further augmented to list any names, dates, and names of companies that are present in the electronic mail message being summarized.

Topicality scores are determined for a number of phrasal expressions in documents. Phrasal expressions may be noun phrases, with or without corresponding prepositional phrases, subject-verb pairs, and verb-object pairs. The documents describe some topic or multiple topics. Techniques can be used to determined how the phrasal expression compares with the topic or topics being described in the documents. Specificities are determined for the phrasal expressions. Techniques may be used to determine whether phrasal expressions are more or less specific than other phrasal expressions. An order is determined for the phrasal expressions by using the topicality scores and the specificities. The order may be represented as a phrasal expression tree, for example. The phrasal expression tree may be displayed to a user, and the user can navigate through the phrasal expression tree, and therefore through the one or more documents.

The invention provides an encrypt data searching method based on a 5g communication standard, and therefore the cost spent on communication between a user client and a server can be reduced. The encrypt data searching method comprises that encrypting a forward index on a data provider client to obtain a forward index file, and encrypting a document plaintext line by line to obtain a ciphertext set; creating an inverted index table of a ciphertext type by the server in dependence on the forward index file; receiving a querying trap door uploaded by the user on the server with the querying trap door comprising a keyword trap door and a document number decryption key; judging whether the inverted index table includes an index entry being consistent with the keyword trap door or not; if yes, deciphering the document number ciphertext through the document number decryption key, sorting documents in the ciphertext set according to a rule that the correlation between a keyword and a document is gradually reduced, and returning document summarization ciphertexts whose correlation between the keyword and the document ranks in the top k and corresponding document number ciphertexts to the user client by combining the keyword position information. The encrypt data searching method based on the 5g communication standard is suitable for the technical field of information safety.

The invention discloses a database script management method and device, computer equipment and a storage medium. The method comprises the steps of obtaining a current DB script sent by a service system, detecting a script name of the current DB script, and extracting a version number, a service code, a database instance and a script type corresponding to the current DB script; maintaining the current DB script based on the service code, and determining a target DB script and a target execution sequence; based on the target execution sequence, executing the target DB script in a target databasecorresponding to the database instance, and obtaining a script execution result; and if the script type is the DDL script, obtaining a target interface document corresponding to the DDL script, performing associated document summarization based on the target interface document, obtaining a summarized interface document, processing the target DB script based on the summarized interface document and the script execution result, and obtaining a version sealing processing result. According to the method, the target DB script management and test cost can be saved, the interface document is synchronously updated, and the accuracy of the execution process is guaranteed.

The invention relates to multiple-document summarization using document clustering. Systems and methods are disclosed for summarizing multiple documents by generating a model of the documents as a mixture of document clusters, each document in turn having a mixture of sentences, wherein the model simultaneously representing summarization information and document cluster structure; and determininga loss function for evaluating the model and optimizing the model.

A method for searching multiple documents on a computer system includes steps for sending a query to a system core where the query is passed to a search component for searching the documents. The system core in turn receives results from the search component indicating related documents to the query and passes to a summarization component a specified number of the results. The summarization component processes related documents corresponding to the specified number of results and removes duplicate results to produce a multi-document summary. The system core receives the summary from the summarization component. The multi-document summary is received from the system core.

The invention discloses a guarding system for emergency management work. The guarding system comprises an information processing module, a guarding communication module, an intelligent scheduling module, an official document review module, a data library module, a guarding big data module, a disposal evaluation module, a process simulation module, an instant communication module and a system management module. The information processing module outputs the information abstract to the official document summarization module for quickly editing daily duty logs. The information processing module outputs the event information to the on-duty communication module for information association. The information processing module and the on-duty communication module output the processing timeliness tothe processing evaluation module for evaluating the timeliness of event processing. According to the invention, a rapid and efficient information management system is constructed, intra-system integration of various event information is realized, the system automatically associates related information, the event information is displayed in an event time stream form, an event development process istaken as a main line, the event information is connected in series, and the availability of the information is improved.

A document can be summarized at high speed using submodular maximization.

A search unit 36 accepts a set including each element of the submodular maximization, a submodular function defining an amount of information with regard to a subset of the set, a dependency structure tree representing a dependency structure of the document, a set of paths containing the root of the dependency structure tree, a length of each of the elements, and an upper limit of length of the subset, and repeats selecting paths using a greedy algorithm so as to maximize the submodular function and obtain a subset where the amount of information is largest from a subset that is included in a rooted subtree of the dependency structure tree and that also satisfies a constraint of the summation of lengths of elements of the subset being no larger than the upper limit, and outputs the subset as a summary of the document.