1. Articles in category: Summarization

    1-24 of 1851 1 2 3 4 ... 76 77 78 »
    1. 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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    2. 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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    3. 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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    4. 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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    5. 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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    6. 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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    7. 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
    8. 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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    9. 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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    10. 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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    11. 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
    12. 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
    13. 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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    14. 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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    15. 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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    16. Method and system for video summarization

      A video summary method comprises dividing a video into a plurality of video shots, analyzing each frame in a video shot from the plurality of video shots, determining a saliency of each frame of the video shot, determining a key frame of the video shot based on the saliency of each frame of the video shot, extracting visual features from the key frame and performing shot clustering of the plurality of video shots to determine concept patterns based on the visual features. The method further comprises fusing different concept patterns using a saliency tuning method and generating a summary of ...

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    17. Real-Time Web Scale Event Summarization Using Sequential Decision Making. (arXiv:1605.03664v1 [cs.CL])

      We present a system based on sequential decision making for the online summarization of massive document streams, such as those found on the web. Given an event of interest (e.g. "Boston marathon bombing"), our system is able to filter the stream for relevance and produce a series of short text updates describing the event as it unfolds over time.

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      Mentions: Boston
    18. Corpus-Based Problem Selection for EHR Note Summarization.

      Corpus-Based Problem Selection for EHR Note Summarization.

      AMIA Annu Symp Proc. 2010;2010:817-21

      Authors: Van Vleck TT, Elhadad N

      Abstract Physicians have access to patient notes in volumes far greater than what is practical to read within the context of a standard clinical scenario. As a preliminary step toward being able to provide a longitudinal summary of patient history, methods are examined for the automated extraction of relevant patient problems from existing clinical notes.

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    19. Systems and methods for generating summaries of documents

      Systems and methods for summarizing online articles for consumption on a user device are disclosed herein. The system extracts the main body of an article's text from the HTML code of an online article. The system may then classify the extracted article into one of several different categories and removes duplicate articles. The system breaks down the article into its component sentences, and each sentence is classified into one of three categories: (1) potential candidate sentences that may be included in the generated summary; (2) weakly rejected sentences that will not be included in the summary but may be ...

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    20. Fast title/summary extraction from long descriptions

      Techniques are described herein for automatic generation of a title or summary from a long body of text. A grammatical tree representing one or more sentences of the long body of text is generated. One or more nodes from the grammatical tree are selected to be removed. According to one embodiment, a particular node is selected to be removed based on its position in the grammatical tree and its node-type, where the node type represents a grammatical element of the sentence. Once the particular node is selected, a branch of the tree is cut at the node. After branch has ...

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    21. Medical 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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    22. AttSum: Joint Learning of Focusing and Summarization with Neural Attention. (arXiv:1604.00125v1 [cs.IR])

      Query relevance ranking and sentence saliency ranking are the two main tasks in extractive query-focused summarization. Previous supervised summarization systems often perform the two tasks in isolation. However, since reference summaries are the trade-off between relevance and saliency, using them as supervision, neither of the two rankers could be trained well. This paper proposes a novel summarization system called AttSum, which tackles the two tasks jointly.

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    1-24 of 1851 1 2 3 4 ... 76 77 78 »
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