144 results about "Automatic summarization" patented technology

A relativity controller is a scroll bar / window combination that provides a way to see data in relation to both the context of its wholeness and the salience of its contents. To accomplish this, the linear density or other appearance of the scroll bar (acting as a ruler or scale) varies with the density of the document salience (as indicated by different kinds of annotations or marks). It also provides a way to zoom between perspectives. This is usable on many different data types: including sound, video, graphics, calendars and word processors.

Techniques segmenting ordered information such as audio, video and text are provided by windowing and parameterizing an ordered information stream and storing of the parameterized and windowed information into a two-dimensional representation such as a matrix. The similarity between the parameter vectors is determined and an orthogonal matrix decomposition such as singular value decomposition is applied to the similarity matrix. The singular values or eigenvalues of the resulting decomposition indicate major components or segments of the ordered information. The boundaries of the major components may be determined using the determined singular vectors to provide, for example, smart cut-and-paste of ordered information in which boundaries are automatically identified by the singular vectors; automatic categorization and retrieval of ordered information and automatic summarization of ordered information.

The invention discloses a short text automatic abstracting method and system based on double encoders, belongs to the technical field of information processing, and is characterized by comprising thefollowing steps: 1, preprocessing data, 2, designing a double encoder with a bidirectional recurrent neural network, and 3, arranging an attention mechanism fusing global and local semantics 4, arranging a decoder with empirical probability distribution and using a decoder designed by adopting a double-layer unidirectional neural network; 5, adding word embedding characteristics, 6, optimizing word embedding dimensions, and 7, carrying out preprocessing and testing on the news corpus data from the Sogou laboratory, substituting the news corpus data into a Seq2Seq model with double encoders andaccompanying empirical probability distribution to carry out calculation, and carrying out experimental evaluation through a text abstract quality evaluation system Rouge. According to the invention,traditional weaving is carried out; and the decoding framework is subjected to optimization research, so that the model can fully understand text semantics, and the fluency and precision of text abstracts are improved.

A method of summarizing data files includes implementing, at a server, a storage event for a data file, analyzing the data file and creating a summary of the data file, and storing the summary linked to the data file.

The invention provides a method and a system for automatically abstracting pictures and texts from a commodity-related network article. The method comprises the following steps of searching network articles on an Internet; screening the network article related with the commodity with particular topic from the searched network articles, extracting the corresponding commodity name, correlating the screened network article and the corresponding commodity name, and storing into a database of the commodity with particular topic; respectively obtaining pictures embedded into all network articles related with each commodity from the database of the commodity with particular topic, respectively screening the representative picture of each commodity from the pictures related with each commodity, and storing the representative picture of each commodity into the database of the commodity with particular topic. The system for automatically abstracting the pictures and texts has the advantages that by adopting the automatic abstracting technique, the different information sources are summarized, the commodity information, such as representative pictures and comment abstracts, of the commodity are provided, the intuitional data is provided for a user, and the query of the user is convenient.

The present invention discloses a semantics-based sci-tech information processing method and system, and belongs to the technical field of data processing. The method comprises the following steps: acquiring network data; according to a Chinese-English bilingual parallel corpus, translating the network data into Chinese / English by means of a decoding algorithm; generating an abstract according to the translated network data; performing classification according to the abstract, and generating a class tag; and storing the translated network data, the abstract and the class tag into a full-text retrieving database. According to the method and system disclosed by the present invention, by using technologies such as automatic search of sci-tech information, automatic abstracting of the sci-tech information and automatic classification of texts, sci-tech information related to scientific development, technical innovation and recent news can be automatically acquired by means of a public information channel from the Internet, so that acquisition accuracy is improved, the cross-language content understanding barrier is eliminated, the problem of information overload is solved, and the efficiency of reading and understanding information of the user is increased.

The invention discloses a mobile terminal task assessment method and system based on Internet of Things. The mobile terminal task assessment method based on the Internet of Things comprises steps of performing submission at a mobile terminal after accomplishing a task, entering a background management unit by task information to wait for task evaluation, performing point or virtual golden coin calculation according to a standard, waiting for a leader to finish final approval after finishing task assessment, if the leader approves, sending the assessment information to an assessment display module and a middle-level performance score management module for processing, if the leader does not approve, anew choosing the standard to perform assessment submission, performing automatic summarization statistic and displaying a result in an assessment report and a middle-level performance report by the assessment display module and the middle-level performance score management module, and sending the points and the virtual golden coins to personal accounts of workers or user who accomplish the task. The mobile terminal task assessment method and system based on the Internet of Things utilizes the advanced mobile Internet application technology to combine with the enterprise performance assessment management work and realizes a real-time, objectified, data-orienting and informationized work task assessment method on the mobile terminal.

The invention relates to a method for automatic abstracting for electronic official documents of enterprises. Different from common mainstream abstract extracting algorithms, the method is mainly used for automatic abstracting for electronic official documents of enterprises, so that the characteristics (strong topicality of documents and abundant information of the titles of the documents) of electronic official documents of enterprises can be fully utilized and the conventional algorithms can be creatively modified and combined according to the characteristics. According to tests, the method can effectively improve the effect of automatic abstracting for electronic official documents of enterprises.

The present invention provides a data mining-oriented text processing system. The system comprises: a text extraction module, a text segmentation module, an index establishing module, an entity identification module, a keyword extraction module, an automatic summarization module, an automatic classification module and a service interface module. The text segmentation module performs code conversion, conversion between simplified and traditional Chinese, and a part-of-speech tagging operation on a text extracted by the text extraction module. The index establishing module, the entity identification module, the keyword extraction module, the automatic summarization module and the automatic classification module are used for obtaining an index file, an entity word, a keyword, an abstract and a classification result of the text content. The service interface module is used for publishing output results of the index establishing module, the entity identification module, the keyword extraction module, the automatic summarization module and the automatic classification module in the form of a service to other systems for calling. The present invention also provides a data mining-oriented text processing method. The method is capable of providing a more complete text processing capability.

The invention discloses a multilingual word segmentation method based on dictionaries and grammar analysis. Efficient and accurate word segmentation of mixed texts of Chinese, Japanese, Korean, Cantonese and the like can be realized, flexible lexicon expansion of words for different time periods and different professionals can be realized, lexicon information is updated effectively, and efficient and accurate multilingual language text word segmentation is realized; a word segmentation sub-device of Chinese, Japanese, Korean, Cantonese and other language families, a Chinese quantum word segmentation device and a western language word segmentation device are embedded to realize the accurate word segmentation of each language text; a text segment to be performed with word segmentation is segmented by a built-in language segment coded identification mechanism, each segmented text segment corresponds to a language family, and the word segmentation is carried out by using a corresponding word segmentation sub-device; the word segmentation of western inflectional languages and the smart mode word segmentation of the Chinese, Japanese, Korean, Cantonese can be realized by grammar analysis, and texts containing Arabic numeral information can be processed; and meanwhile, the word segmentation of texts with a plurality of mixed languages can also be realized by the multilingual word segmentation method provided by the invention, thereby getting rid of the limitation that a word segmentation tool can only realize the word segmentation of single language and some individual languages and ensuring the security, accuracy, efficiency, flexibility and universality of word segmentation of texts. The multilingual word segmentation method provided by the invention has a wide application prospect in the text word segmentation fields such as enhancement of mass data text classification, text information extraction, autoabstract, etc.