1. Articles in category: Semantic

    1-24 of 4090 1 2 3 4 ... 169 170 171 »
    1. Semantic annotation in biomedicine: the current landscape.

      Semantic annotation in biomedicine: the current landscape.

      Semantic annotation in biomedicine: the current landscape.

      J Biomed Semantics. 2017 Sep 22;8(1):44

      Authors: Jovanović J, Bagheri E

      Abstract The abundance and unstructured nature of biomedical texts, be it clinical or research content, impose significant challenges for the effective and efficient use of information and knowledge stored in such texts.

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      Mentions: Umls
    2. Decoding the neural representation of story meanings across languages.

      Decoding the neural representation of story meanings across languages.

      Decoding the neural representation of story meanings across languages.

      Hum Brain Mapp. 2017 Sep 20;:

      Authors: Dehghani M, Boghrati R, Man K, Hoover J, Gimbel SI, Vaswani A, Zevin JD, Immordino-Yang MH, Gordon AS, Damasio A, Kaplan JT

      Abstract Drawing from a common lexicon of semantic units, humans fashion narratives whose meaning transcends that of their individual utterances.

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      Mentions: Farsi
    3. Assigning factuality values to semantic relations extracted from biomedical research literature.

      Assigning factuality values to semantic relations extracted from biomedical research literature.

      Assigning factuality values to semantic relations extracted from biomedical research literature.

      PLoS One. 2017;12(7):e0179926

      Authors: Kilicoglu H, Rosemblat G, Rindflesch TC

      Abstract Biomedical knowledge claims are often expressed as hypotheses, speculations, or opinions, rather than explicit facts (propositions). Much biomedical text mining has focused on extracting propositions from biomedical literature.

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    4. Syntactic parser assisted semantic rule inference

      Natural language understanding (NLU) engines perform better when they are trained with large amounts of data. However, a large amount of data is not always available. Embodiments of the present invention overcome this problem by generating annotated data for use in a NLU system. An example embodiment generates annotated data by parsing an input annotated phrase, generating a syntactic tree reflecting a grammatical structure of the parsed phrase, and generating one or more alternative versions of the input annotated phrase based on the syntactic tree. Alignment between expressions and corresponding annotations in the annotated phrase are preserved in the one ...

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    5. User interface for supplementing an answer key of a question answering system using semantically equivalent variants of natural language expressions

      A mechanism is provided in a data processing system having a processor and a memory storing a store of semantic types and instructions for implementing a natural language processing engine for generating a question/answer pair list with semantically equivalent variants. The mechanism generates a user interface for generating a question/answer pair list. The mechanism receives user input in the user interface specifying a question and an answer term and specifying an answer type from a list of previously created answer types. The input term comprises the answer term. The natural language processing engine executing on the data processing ...

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    6. Classification of search queries

      A computer-implemented method of classifying a search query in a network comprises: classifying a plurality of search queries into categories, comprising: applying predetermined rules to each of the plurality of search queries, wherein the predetermined rules are indicative of the categories and each of the plurality of search queries is associated with search results in the network; determining, for each of the plurality of search queries, similarity values indicating similarity to each of the categories based on the applied predetermined rules; and training a machine learning module, comprising: applying the machine learning module to a plurality of training sets to ...

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    7. Patent claim scope evaluator

      Systems and methods for calculating a patent claim scope rating are disclosed. In an example embodiment, a method of calculating a patent claim scope rating includes identifying patent references cited in examination of a subject patent and storing the identified patent references as an applied art list, identifying first backward references for the patent references in the applied art list and storing the first backward references as a first backward list, identifying second backward references for the first backward references in the first backward list and storing the second backward references as a second backward list, identifying forward references for ...

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    8. System and method for semantic processing of natural language commands

      A system, method and computer-readable storage devices are for processing natural language commands, such as commands to a robotic arm, using a Tag & Parse approach to semantic parsing. The system first assigns semantic tags to each word in a sentence and then parses the tag sequence into a semantic tree. The system can use statistical approach for tagging, parsing, and reference resolution. Each stage can produce multiple hypotheses, which are re-ranked using spatial validation. Then the system selects a most likely hypothesis after spatial validation, and generates or outputs a command. In the case of a robotic arm, the command ...

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    9. Optimizing parsing outcomes of documents

      A mechanism is provided for optimizing parsing of grammatical prose in a multi-prose electronic document. A received multi-prose electronic document is partitioned into a set of text segments of homogenous prose. A set of predefined Natural Language (NL) parsers is executed on each text segment in order to discern and measure a quality of parses by each NL parser throughout the multi-prose electronic document. A cross-parse analysis of the multi-prose electronic document and an aggregation of adjacent clauses or sentences of poor quality parses are performed. For each text segment, aggregation patterns yielding a best semantic role match are identified ...

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    10. Semantic analysis and delivery of alternative content

      A method, computer program product, and system for identifying attributes of a link embedded in a digital communication, generating a list of alternative links based on the identified link attributes by searching the internet for alternative links; organizing the list of alternative links based on characteristics of a recipient of the digital communication, and selecting an alternate link from the list of alternative links based on the characteristics of the recipient, wherein the selected alternate link provides comparable content to the recipient as the link.

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    11. A Semantic Sentence Similarity Estimation System For The Biomedical Domain.

      A Semantic Sentence Similarity Estimation System For The Biomedical Domain.

      BIOSSES: a semantic sentence similarity estimation system for the biomedical domain.

      Bioinformatics. 2017 Jul 15;33(14):i49-i58

      Authors: Sogancioglu G, Öztürk H, Özgür A

      Abstract Motivation: The amount of information available in textual format is rapidly increasing in the biomedical domain. Therefore, natural language processing (NLP) applications are becoming increasingly important to facilitate the retrieval and analysis of these data.

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      Mentions: NLP Pearson
    12. An Unsupervised Graph Based Continuous Word Representation Method for Biomedical Text Mining.

      An Unsupervised Graph Based Continuous Word Representation Method for Biomedical Text Mining.

      An Unsupervised Graph Based Continuous Word Representation Method for Biomedical Text Mining.

      IEEE/ACM Trans Comput Biol Bioinform. 2016 Jul-Aug;13(4):634-42

      Authors: Jiang Z, Li L, Huang D

      Abstract In biomedical text mining tasks, distributed word representation has succeeded in capturing semantic regularities, but most of them are shallow-window based models, which are not sufficient for expressing the meaning of words.

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      Mentions: Li L
    13. Extracting Biomedical Event with Dual Decomposition Integrating Word Embeddings.

      Extracting Biomedical Event with Dual Decomposition Integrating Word Embeddings.

      Extracting Biomedical Event with Dual Decomposition Integrating Word Embeddings.

      IEEE/ACM Trans Comput Biol Bioinform. 2016 Jul-Aug;13(4):669-77

      Authors: Li L, Liu S, Qin M, Wang Y, Huang D

      Abstract Extracting biomedical event from literatures has attracted much attention recently. By now, most of the state-of-the-art systems have been based on pipelines which suffer from cascading errors, and the words encoded by one-hot are unable to represent the semantic information.

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      Mentions: Li L Wang Y
    14. Method for deducing entity relationships across corpora using cluster based dictionary vocabulary lexicon

      An approach is provided for identifying entity relationships based on word classifications extracted from business documents stored in a plurality of corpora. In the approach, performed by an information handling system, a plurality of cluster classifications are identified for the business documents so that entity information from the business documents can be classified or assigned to the cluster classifications, such as by performing natural language processing (NLP) analysis of the business documents. The approach applies semantic analysis to identify and score entity relationships between the entity information classified in the cluster classifications, and based on the scored entity relationships, cluster ...

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    15. Visual Exploration of Semantic Relationships in Neural Word Embeddings.

      Visual Exploration of Semantic Relationships in Neural Word Embeddings.

      Visual Exploration of Semantic Relationships in Neural Word Embeddings.

      IEEE Trans Vis Comput Graph. 2017 Aug 29;:

      Authors: Liu S, Bremer PT, Thiagarajan JJ, Srikumar V, Wang B, Livnat Y, Pascucci V

      Abstract Constructing distributed representations for words through neural language models and using the resulting vector spaces for analysis has become a crucial component of natural language processing (NLP).

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      Mentions: NLP PCA
    16. Semantic Role Labeling of Clinical Text: Comparing Syntactic Parsers and Features.

      Semantic Role Labeling of Clinical Text: Comparing Syntactic Parsers and Features.

      AMIA Annu Symp Proc. 2016;2016:1283-1292

      Authors: Zhang Y, Jiang M, Wang J, Xu H

      Abstract Semantic role labeling (SRL), which extracts shallow semantic relation representation from different surface textual forms of free text sentences, is important for understanding clinical narratives.

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    17. Semantic disambiguation using a statistical analysis

      A text containing a word is received by a computing device. The word is compared to inventory words in a sense inventory. The sense inventory comprises at least one inventory word and at least one concept corresponding to the at least one inventory word. Upon matching the word to an inventory word in the sense inventory, a concept for the word is identified by comparing each concept related to the inventory word to the word. The concept is assigned the word.

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    18. Information handling system and computer program product for deducing entity relationships across corpora using cluster based dictionary vocabulary lexicon

      An approach is provided for identifying entity relationships based on word classifications extracted from business documents stored in a plurality of corpora. In the approach, performed by an information handling system, a plurality of cluster classifications are identified for the business documents so that entity information from the business documents can be classified or assigned to the cluster classifications, such as by performing natural language processing (NLP) analysis of the business documents. The approach applies semantic analysis to identify and score entity relationships between the entity information classified in the cluster classifications, and based on the scored entity relationships, cluster ...

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    19. Ontology mapper

      Systems, methods and computer-readable media are provided for facilitating patient health care by providing discovery, validation, and quality assurance of nomenclatural linkages between pairs of terms or combinations of terms in databases extant on multiple different health information systems that do not share a set of unified codesets, nomenclatures, or ontologies, or that may in part rely upon unstructured free-text narrative content instead of codes or standardized tags. Embodiments discover semantic structures existing naturally in documents and records, including relationships of synonymy and polysemy between terms arising from disparate processes, and maintained by different information systems. In some embodiments, this ...

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    1-24 of 4090 1 2 3 4 ... 169 170 171 »
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