1. Articles in category: Summarization

    49-72 of 1852 « 1 2 3 4 5 6 ... 76 77 78 »
    1. Self-learning methods for automatically generating a summary of a document, knowledge extraction and contextual mapping

      Advance Machine Learning or Unsupervized Machine Learning Techniques are provided that relate to Self-learning processes by which a machine generates a sensible automated summary, extracts knowledge, and extracts contextually related Topics along with the justification that explains "why they are related" automatically without any human intervention or guidance (backed ontology's) during the process. Such processes also relate to generating a 360-Degree Contextual Result (360-DCR) using Auto-summary, Knowledge Extraction and Contextual Mapping.

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    2. System and method for grouping multiple streams of data

      A document clustering system and method of assigning a document to a cluster of documents containing related content are provided. Each cluster is associated with a cluster summary describing the content of the documents in the cluster. The method comprises: determining, at a document clustering system, whether the document should be grouped with one or more previously created cluster summaries, the previously created cluster summaries being stored in a memory in a B-tree data structure; and if it is determined that the document should not be grouped with the one or more previously created cluster summaries, then creating, at a ...

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    3. Webinar: Translation Trends 2015

      Learn what 2015 holds for the future of translation. In this webinar hosted by MemSource, you will hear a summary of 2014 and catch a glimpse of what's in store for 2015. Panelists include Microsoft Translator's Chris Wendt, MemSource CEO David Canek, Torben Dahl Jensen from TextMinded, and Moravia's Jan Hofmeister. Ask your questions during the webinar, or in advance by posting them to @memsource on Twitter.

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    4. Personalized News-Reading App Pipes Now Smartly Summarizes Articles, Without The Help Of Editors

      A personalized news reading app, Pipes, is now offering summaries of news stories to save mobile readers time while trying to catch up on-the-go. This is a big shift for the app, which launched earlier this year to offer a more mainstream-friendly way of consuming news and other topical information from a variety of sources, without having to understand the technicalities of using RSS or… Read ...

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      Mentions: Google Yahoo anAND
    5. Aspect-based sentiment summarization

      Phrases in the reviews that express sentiment about a particular aspect are identified. Reviewable aspects of the entity are also identified. The reviewable aspects include static aspects that are specific to particular types of entities and dynamic aspects that are extracted from the reviews of a specific entity instance. The sentiment phrases are associated with the reviewable aspects to which the phrases pertain. The sentiment expressed by the phrases associated with each aspect is summarized, thereby producing a summary of sentiment associated with each reviewable aspect of the entity. The summarized sentiment and associated phrases can be stored and displayed ...

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    6. Summarizing reviews

      Summarizing a set of reviews is disclosed. In some embodiments, a set of reviews is analyzed, e.g., by an at least partially automated process. A summary of the information included in the set of reviews is provided. The summary includes a visual indication of a range and distribution of opinions expressed in the set of reviews. In some embodiments, the set of reviews includes reviews from one or more members of an online or other user community, such as customers of an online store, subscribers to a podcast, blog, or other online source of content, etc.

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    7. Signature generation using message summaries

      Systems and methods for processing a message are provided. A message may be processed to generate a message summary by removing or replacing certain words, phrases, sentences, punctuation, and the like. Message signatures based upon the message summary may be generated and stored in a signature database, which may be used to identify and/or classify spam messages. Subsequently received messages may be classified by signature and processed based on classification.

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    8. Data-to-text summarisation of patient records: using computer-generated summaries to access patient histories.

      Data-to-text summarisation of patient records: using computer-generated summaries to access patient histories.

      Data-to-text summarisation of patient records: using computer-generated summaries to access patient histories.

      Patient Educ Couns. 2013 Aug;92(2):153-9

      Authors: Scott D, Hallett C, Fettiplace R

      Abstract OBJECTIVE: We assess the efficacy and utility of automatically generated textual summaries of patients' medical histories at the point of care. METHOD: Twenty-one clinicians were presented with information about two cancer patients and asked to answer key questions.

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    9. Multilingual sentence extractor

      The invention relates to a multilingual method for summarizing an article, which comprises an offline stage in which a weights vector is determined using, among others, plurality of predefined metrics, a collection of documents and expert prepared summaries, subjection of all the document sentences to all said metrics, guess of a population of weights matrices, subjection of the population to said metrics, ranking of sentences, generation of a new population using a genetic algorithm, and repetition of the same until convergence. The invention further comprises a real time stage in which the weights vector, as determined, as well as said ...

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    10. System and method for automatically generating systematic reviews of a scientific field

      A system and method are provided for automatically generating systematic reviews of received information in a field of science and technology, such as scientific literature, where the systematic review includes a systematic review of a research field in the scientific literature. The method is preferably implemented by a programmed computer and includes the steps of constructing a time series networks of words, passages, documents, and citations and/or co-citations within received information into a synthesized network, decomposing the networks into clusters of fields or topics, performing part-of-speech tagging of text within the received information to provide tagged text, constructing semantic ...

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    11. Automatic extraction and mapping of discharge summary's concepts into Snomed Ct.

      Automatic extraction and mapping of discharge summary's concepts into SNOMED CT.

      Conf Proc IEEE Eng Med Biol Soc. 2013 Jul;2013:4195-4198

      Authors: Batool R, Khattak AM, Kim TS, Lee S

      Abstract Patient data is critical in healthcare domain. Secure, consistent, and coded information increases the efficiency and encourages collaboration within and between organizations. Data entered by physician consists of free text containing medical terminologies.

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    12. Metaphor interpretation using paraphrases extracted from the web.

      Metaphor interpretation using paraphrases extracted from the web.

      PLoS One. 2013;8(9):e74304

      Authors: Bollegala D, Shutova E

      Abstract Interpreting metaphor is a hard but important problem in natural language processing that has numerous applications. One way to address this task is by finding a paraphrase that can replace the metaphorically used word in a given context.

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    13. Joint segmentation and named entity recognition using dual decomposition in Chinese discharge summaries.

      Joint segmentation and named entity recognition using dual decomposition in Chinese discharge summaries.

      J Am Med Inform Assoc. 2013 Aug 9;

      Authors: Xu Y, Wang Y, Liu T, Liu J, Fan Y, Qian Y, Tsujii J, Chang EI

      Abstract OBJECTIVE: In this paper, we focus on three aspects: (1) to annotate a set of standard corpus in Chinese discharge summaries; (2) to perform word segmentation and named entity recognition in the above corpus; (3) to build a joint model that performs word segmentation and named entity recognition. DESIGN: Two independent systems of word segmentation and named entity recognition were built ...

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      Mentions: Tsujii J Liu J Wang Y
    14. A rule-based method for continuity of care identification in discharge summaries.

      A rule-based method for continuity of care identification in discharge summaries.

      Stud Health Technol Inform. 2013;192:1221

      Authors: Silva E Oliveira LE, de Souza AC, Nohama P, Moro CM

      Abstract Discharge summaries are an important clinical narrative as they include the continuity of care information. Identification of data contained in their text is a difficult task due to its freeform text and lack of consensus on essential content.

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    15. Automatic coding of patient outcomes

      Systems and methods can mine structured clinical event data in an electronic health record (EHR) system to determine patient outcomes. Mining the structured clinical event data instead of or in addition to mining discharge summaries can increase the accuracy of patient outcome identification. Sophisticated language models can be used to extract outcomes from discharge summaries while also inferring outcomes from cues or hints contained in the structured clinical event data. For example, the clinical event data can include information regarding treatments and medications prescribed by clinicians to specifically manage patient complications; thus, presence or absence of relevant treatments in the ...

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    16. Locating paraphrases through utilization of a multipartite graph

      A method is described herein that includes acts of receiving a selection of a first phrase in a first language and executing a random walk over a computer-implemented multipartite graph, wherein the multipartite-graph includes a first set of nodes that are representative of phrases in the first language, a second set of nodes that are representative of phrases in a second language, and edges between nodes that are representative of relationships between the respective phrases. The random walk includes traversals over edges of the graph between nodes. The method also includes the act of indicating that a second phrase in ...
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    17. Video summarization using sparse basis function combination

      A method for determining a video summary from a video sequence including a time sequence of video frames, comprising: defining a global feature vector representing the entire video sequence; selecting a plurality of subsets of the video frames; extracting a frame feature vector for each video frame in the selected subsets of video frames; defining a set of basis functions, wherein each basis function is associated with the frame feature vectors for the video frames in a particular subset of video frames; using a data processor to automatically determine a sparse combination of the basis functions representing the global feature ...
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    18. Automatic generation of natural language nursing shift summaries in neonatal intensive care: BT-Nurse.

      Related Articles Automatic generation of natural language nursing shift summaries in neonatal intensive care: BT-Nurse. Artif Intell Med. 2012 Nov;56(3):157-72 Authors: Hunter J, Freer Y, Gatt A, Reiter E, Sripada S, Sykes C Abstract INTRODUCTION: Our objective was to determine whether and how a computer system could automatically generate helpful natural language nursing shift summaries solely from an electronic patient record system, in a neonatal intensive care unit (NICU). METHODS: A system was developed which automatically generates partial NICU shift summaries (for the respiratory and cardiovascular systems), using data-to-text technology. It was evaluated for 2 months in ...
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    49-72 of 1852 « 1 2 3 4 5 6 ... 76 77 78 »
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