1. Articles in category: Summarization

    73-96 of 1912 « 1 2 3 4 5 6 7 ... 78 79 80 »
    1. 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
    2. Generating Phrasal and Sentential Paraphrases: A Survey of Data-Driven Methods

      (Save current location: 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
    3. 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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    4. 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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    5. 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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    6. 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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    7. 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
    8. 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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    9. 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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    10. 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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    11. 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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    12. 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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    13. Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints. (arXiv:1603.08887v1 [cs.CL])

      We present a discriminative model for single-document summarization that integrally combines compression and anaphoricity constraints. Our model selects textual units to include in the summary based on a rich set of sparse features whose weights are learned on a large corpus. We allow for the deletion of content within a sentence when that deletion is licensed by compression rules; in our framework, these are implemented as dependencies between subsentential units of text.

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    14. Neural Summarization by Extracting Sentences and Words. (arXiv:1603.07252v1 [cs.CL])

      Traditional approaches to extractive summarization rely heavily on human-engineered features. In this work we propose a data-driven approach based on neural networks and continuous sentence features. We develop a general framework for single-document summarization composed of a hierarchical document encoder and an attention-based extractor. This architecture allows us to develop different classes of summarization models which can extract sentences or words.

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    15. Clinical application of the integrated multicenter discharge summary database.

      Clinical application of the integrated multicenter discharge summary database.

      Clinical application of the integrated multicenter discharge summary database.

      Stud Health Technol Inform. 2015;216:1120

      Authors: Takahiro S, Shunsuke D, Yutaka H, Masayuki H, Yasushi M, Gen S, Mitsuhiro T, Shusaku T, Hideto Y, Katsuhiko T

      Abstract We performed the multi-year project to collect discharge summary from multiple hospitals and made the big text database to build a common document vector space, and developed various applications.

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    16. De-duplication deployment planning

      Assignment of files to a de-duplication domain. Address space of data files is divided into multiple containers. For each of the containers, a file metadata scan is performed to obtain file system metadata, which is aggregated and summarized in a content feature summary. A content feature summary prediction measurement is measured between containers from the generated content feature summary, and files from each container are assigned to a de-duplication domain based upon the content similarity predication measurement.

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    17. Entity category extraction for an entity that is the subject of pre-labeled data

      Summaries of entities (e.g., people, places, things, concepts, etc.) may provide additional useful information to user. For example, a search engine may provide a summary of an entity within search results. A category (e.g., "writer", "politician", etc.) of the entity that is short and concise may be advantageous to provide within a summary of the entity. The category may allow a user to quickly determine whether the information of the entity relates to the intended entity (e.g., search results of an entity as "a writer" vs. search results of an entity as "a politician"). Potential categories and ...

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    18. Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing. (arXiv:1601.06068v1 [cs.CL])

      One of the limitations of semantic parsing approaches to open-domain question answering is the lexicosyntactic gap between natural language questions and knowledge base entries -- there are many ways to ask a question, all with the same answer. In this paper we propose to bridge this gap by generating paraphrases of the input question with the goal that at least one of them will be correctly mapped to a knowledge-base query.

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    19. Improved Spoken Document Summarization with Coverage Modeling Techniques. (arXiv:1601.05194v1 [cs.CL])

      Extractive summarization aims at selecting a set of indicative sentences from a source document as a summary that can express the major theme of the document. A general consensus on extractive summarization is that both relevance and coverage are critical issues to address. The existing methods designed to model coverage can be characterized by either reducing redundancy or increasing diversity in the summary.

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    20. System, method and computer program product for searching summaries of mobile apps reviews

      A system, method, and computer program product (e.g. mobile App) and/or web-based service is provided to enable users to research online reviews in order to assess the performance and functionality of mobile applications. The system extracts reviews from multiple online sources, including: mobile Apps "stores", blogs, online magazines, websites, etc.; and, utilizes sentiment analysis algorithms and supervised machine learning analysis to present more informative summaries for each App's reviews. Summaries may include: a sentence that encapsulates a sentiment held by many users; the most positive and negative comments; and a list of features with average scores (e ...

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    21. Method and apparatus for summarizing communications

      A method, apparatus and computer program are provided for summarizing one or more communications. The method, apparatus and computer program process and/or facilitate a processing of one or more communications to generate at least one summary. The method, apparatus and computer program further cause, at least in part, a transformation of the at least one summary based, at least in part, on at least one narrative viewpoint. The method, apparatus and computer program further cause, at least in part, a presentation of the transformation.

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    22. Generating News Headlines with Recurrent Neural Networks. (arXiv:1512.01712v1 [cs.CL])

      We describe an application of an encoder-decoder recurrent neural network with LSTM units and attention to generating headlines from the text of news articles. We find that the model is quite effective at concisely paraphrasing news articles. Furthermore, we study how the neural network decides which input words to pay attention to, and specifically we identify the function of the different neurons in a simplified attention mechanism.

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    73-96 of 1912 « 1 2 3 4 5 6 7 ... 78 79 80 »
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