1. Articles in category: Summarization

    1-24 of 1859 1 2 3 4 ... 76 77 78 »
    1. Automatic Generation of Conditional Diagnostic Guidelines.

      Automatic Generation of Conditional Diagnostic Guidelines.

      AMIA Annu Symp Proc. 2016;2016:295-304

      Authors: Baldwin T, Guo Y, Syeda-Mahmood T

      Abstract The diagnostic workup for many diseases can be extraordinarily nuanced, and as such reference material text often contains extensive information regarding when it is appropriate to have a patient undergo a given procedure.

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    2. Engagement summary generation

      A method and system for generating summary details is provided. The method includes retrieving event data of associated with a user. Attributes are extracted from the event data and the event data is segmented into logical groups of related activities performed by the user. Key information and associated attributes of each logical group are identified and in response the user is evaluated. The logical groups of related activities are ranked and presented to the user. In response, an engagement summary associated with the user and the logical groups is generated.

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    3. Message analysis application and response system

      Disclosed is an apparatus and method of communicating with a user of a wireless device and processing message delivery. One example method of operation may include identifying a group of participants to receive a broadcast message transmitted from a wireless device, transmitting at least one broadcast message from the wireless device to a plurality of computing devices corresponding to the group of participants, receiving a plurality of response messages responsive to the at least one transmitted broadcast message, examining the plurality of response messages and extracting content of the plurality of response messages, generating a summary message based on the ...

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    4. Method and apparatus for generating thumbnails

      A method for generating thumbnail is provided. In one embodiment, a summary of a first document is generated. The summary includes a first asset (e.g. words, images or sentences). The first document is a first source. The first asset is used to obtain a second asset (e.g. words, images or sentences) from a second source. A thumbnail of the first document is generated using the first asset and the second asset. An apparatus for substantially performing the method as described herein is also provided.

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    5. Salesforce created an algorithm that automatically summarizes text using machine learning - The Verge

      Salesforce created an algorithm that automatically summarizes text using machine learning - The Verge

      share Image: Salesforce Research This year, people are expected to spend more than half their day reading e-mail, articles, or posts on social media, and it’s only going to get worse. To help solve this problem, researchers at Salesforce have developed an algorithm that uses machine learning to produce “surprisingly coherent and accurate” summaries according to MIT Technology Review .

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    6. Cognitive presentation advisor

      A computer-implemented method for reviewing content of a presentation is provided. The method includes obtaining, using a processor system of a device, content of an electronic presentation, wherein the content is associated with a first slide of the presentation. The format of the content is determined wherein the content includes natural language content and non-natural language content and the non-natural language content is converted into natural language content using the processor system. The sentiment and tone of the natural language content is analyzed using the processor system. A textual summary is created. The sentiment, tone and textual summary of the ...

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    7. User interface for summarizing the relevance of a document to a query

      According to an aspect, summarizing relevance of a document to a conceptual query includes receiving the conceptual query, accessing concepts extracted from the document, and computing a degree to which the conceptual query is related to each of the extracted concepts. The computing is responsive to a metric that measures a relevance between the concepts in the conceptual query and the extracted concepts. An aspect also includes creating a summary by selecting a threshold number of the concepts having a greatest degree of relation to the conceptual query, and outputting the summary including the selected threshold number of concepts.

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    8. Providing an electronic summary of source content

      A technique provides an electronic summary of source content. The technique involves performing, on the source content, a content recognition operation to electronically generate text output from the source content. The technique further involves electronically evaluating text portions of the text output based on predefined usability criteria to produce a respective set of usability properties for each text portion of the text output. The technique further involves providing, as the electronic summary of the source content, summarization output which summarizes the source content. The summarization output includes a particular text portion of the text output which is selected from the ...

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    9. Crowd-powered self-improving interactive visualanalytics for user-generated opinion data

      Embodiments relate to interacting with a collection of user opinion documents associated with a topic. One aspect includes obtaining opinion data for the collection of opinion documents associated with the topic. The opinion data includes one or more features discussed in the opinion documents, one or more key phrases included in each feature, one or more text snippets included in each feature, and at least one sentiment expressed in each text snippet. A visual interface is provided in which a feature summary view of the opinion documents acts a top level of a navigational hierarchy. The visual interface allows user ...

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    10. Apparatus and method for providing call log

      An apparatus for providing a call log includes a call detail information generator configured to generate call detail information of a call; a call recorder configured to record a call content of the call; a call content summarizer configured to convert the recorded call content into a transcribed text, and generate call content summary information based on the transcribed text; a call log generator configured to generate a call log including the call detail information and the call content summary information; and a call log provider configured to output the call log.

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    11. Personalized summary of online communications

      A method for generating an output of users that are communicating online in which one or more processors gathers data of topics of interest for each group member. One or more processors receive content of an online communication session and sends the content to a cognitive engine to determine the topic and summary information of the session. The cognitive engine sends the topic to a graphic engine to obtain a pictorial representation of the topic. One or more processors receive the summary information and pictorial representation and generates personalizes summaries for the group members based on the interests determined for ...

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    12. Extracting and mining of quote data across multiple languages

      Extracting and mining of quote data across multiple languages, including: retrieving, from a plurality of quote sources, a plurality of commentary summarizations, wherein each commentary summarization is embodied as a machine-readable data structure and wherein the plurality of commentary summarizations include information in at least two or more languages; for each commentary summarization: identifying, within the commentary summarization, quote data, wherein the quote data represents a quote from a commentator; creating a quote tuple for the quote data, the quote tuple including information associated with quantifiable aspects of the quote data; and storing, in a quote tuple repository, the quote ...

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    13. Intellexer Summarizer Direct Link torrent by PDF ReaderIntellexer Summarizer Direct Link torrent by PDF Reader

      Intellexer Summarizer Direct Link torrent by PDF ReaderIntellexer Summarizer Direct Link torrent by PDF Reader

      intellexer summarizerintellexer summarizer downloadOur intelligent semantic software allow you solve the issues of information search extraction and systematization. Get free sematic API and try our Intellexer SKDintellexer summarizer pro portable20+ Text Mining and Text Analysis Tools - Butler AnalyticsIntellexer Summarizer.

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      Mentions: API
    14. Generation of Natural-Language Textual Summaries from Longitudinal Clinical Records.

      Generation of Natural-Language Textual Summaries from Longitudinal Clinical Records.

      Generation of Natural-Language Textual Summaries from Longitudinal Clinical Records.

      Stud Health Technol Inform. 2015;216:594-8

      Authors: Goldstein A, Shahar Y

      Abstract Physicians are required to interpret, abstract and present in free-text large amounts of clinical data in their daily tasks. This is especially true for chronic-disease domains, but holds also in other clinical domains.

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    15. Determining quality of a summary of multimedia content

      A quality metric of a multimedia summary of a multimedia content item is determined based, in part, on semantic similarities of the summary and content item, rather than just on word frequencies. This is accomplished in some embodiments by identifying a semantic meaning of the summary and multimedia content item using vector analysis. The vectors of the summary and the vectors of the multimedia content item are compared to determine semantic similarity. In other examples, the quality metric of the multimedia summary is determined based on, in part, a coherence between an image portion of a summary and a text ...

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    16. System and method for automated detection of plagiarized spoken responses

      Systems and methods are provided for automated detection of plagiarized spoken responses. A spoken response is processed to generate a text that is representative of the spoken response. The text is processed to remove disfluencies in the text and to identify a plurality of sentences in the text. A first numerical measure indicative of a number of words and phrases of the text that are included verbatim in a source text is determined. The source text has been designated as a source of plagiarized content. A second numerical measure indicative of an amount of the text that paraphrases portions of ...

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    17. How to fire yourself: A founder's dilemma

      How to fire yourself: A founder's dilemma

      What to do when a company founder becomes a bottleneck How to fire yourself: A founder's dilemma "Grant, would you rather see your ideas implemented, or be the one who tries to implement them—but who never has time to finish even one of them, much less the majority of them?" Those cogent words, paraphrased from ex- Entagen and current Systemhouse CEO Chris Bouton , a long-time friend, really struck a nerve.

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      Mentions: CTO
    18. Generating Phrasal and Sentential Paraphrases: A Survey of Data-Driven Methods

      (Save current location: 62.0.1.90) Abstract The task of paraphrasing is inherently familiar to speakers of all languages. Moreover, the task of automatically generating or extracting semantic equivalences for the various units of language?words, phrases, and sentences?is an important part of natural language processing (NLP) and is being increasingly employed to improve the performance of several NLP applications.

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      Mentions: NLP
    19. Focused Meeting Summarization via Unsupervised Relation Extraction. (arXiv:1606.07849v1 [cs.CL])

      We present a novel unsupervised framework for focused meeting summarization that views the problem as an instance of relation extraction. We adapt an existing in-domain relation learner (Chen et al., 2011) by exploiting a set of task-specific constraints and features. We evaluate the approach on a decision summarization task and show that it outperforms unsupervised utterance-level extractive summarization baselines as well as an existing generic relation-extraction-based summarization method.

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    20. Unsupervised Topic Modeling Approaches to Decision Summarization in Spoken Meetings. (arXiv:1606.07829v1 [cs.CL])

      We present a token-level decision summarization framework that utilizes the latent topic structures of utterances to identify "summary-worthy" words. Concretely, a series of unsupervised topic models is explored and experimental results show that fine-grained topic models, which discover topics at the utterance-level rather than the document-level, can better identify the gist of the decision-making process.

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    21. Neural Network-Based Abstract Generation for Opinions and Arguments. (arXiv:1606.02785v1 [cs.CL])

      We study the problem of generating abstractive summaries for opinionated text. We propose an attention-based neural network model that is able to absorb information from multiple text units to construct informative, concise, and fluent summaries. An importance-based sampling method is designed to allow the encoder to integrate information from an important subset of input.

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    1-24 of 1859 1 2 3 4 ... 76 77 78 »
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