1. Articles in category: Discourse

    1-24 of 110 1 2 3 4 5 »
    1. Determining temporal categories for a domain of content for natural language processing

      Mechanisms are provided for processing sources of content in a corpus of information associated with a domain. The mechanisms ingest a plurality of sources of content in the corpus of information associated with the domain and determine at least one temporal category for the domain based on identification of frequently occurring references to at least one of temporal terms or time spans specified in the plurality of sources of content in the corpus of information associated with the domain. The mechanisms store the at least one temporal category for the domain in association with the domain and process queries applied ...

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    2. Occupy the government: Analyzing presidential and congressional discursive response to movement repression.

      Occupy the government: Analyzing presidential and congressional discursive response to movement repression.

      Occupy the government: Analyzing presidential and congressional discursive response to movement repression.

      Soc Sci Res. 2017 Sep;67:91-114

      Authors: Mausolf JG

      Abstract I examine the role of Occupy Wall Street in shifting presidential and congressional discourse on economic fairness and inequality.

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      Mentions: Congress Obama
    3. Temporal caching for ICN

      A method provides temporal caching in a content centric networking (CCN) network. The temporal caching is implemented by a CCN node. The method fetches and caches a group of content objects having a temporal relationship. The method includes selecting a first CCN interest packet including a first CCN name of a first content object from the group of content objects, adding an entry for the first CCN name to a correlation table, and selecting at least a second CCN interest packet including a second CCN name of a second content object from the group of content objects. The method further ...

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    4. Computer-implemented systems and methods for measuring discourse coherence

      Systems and methods are provided for automatically generating a coherence score for a text using a scoring model. A lexical chain is identified within a text to be scored, where the lexical chain comprises a set of words spaced within the text. A discourse element is identified within the text, where the discourse element comprises a word within the text. A coherence metric is determined based on a relationship between the lexical chain and the discourse element. A coherence score is generated using a scoring model by providing the coherence metric to the scoring model.

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    5. Boston Launches Revolutionary ANNA Pascal XL Powered by 8 NVIDIA® Tesla® P100s

      St. Albans, United Kingdom -- Boston Limited is pleased to announce the launch of the Boston ANNA Pascal XL, the latest addition to its machine learning armoury, powered by eight NVIDIA Tesla P100 GPUs. The supersized GPU solution will have its world debut on Boston Limited's stand (428) at the GPU Technology Conference (GTC), San Jose, California , USA 9th-11th May. Accelerated solutions such as the Boston ANNA Pascal XL, are redefining what is possible for a broad range of industries.

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    6. Breaking Data's Givemesport Partners with McLaren Racing for the World's Fastest Gamer Competition

      May 08, 2017 at 07:30 AM EDT Breaking Data's GIVEMESPORT Partners with McLaren Racing for the World's Fastest Gamer Competition GIVEMESPORT to market this ground-breaking eSports event to its massive worldwide audience on the web TORONTO, ONTARIO and LONDON, UNITED KINGDOM -- (Marketwired) -- 05/08/17 -- Breaking Data Corp. ( TSX VENTURE: BKD )(OTC PINK: BKDCD) ("Breaking Data" or the "Company") is pleased to announce that it has partnered with McLaren to market World's Fastest Gamer - the world's most intense and demanding competition for virtual racers. It's a contest that will see the winner offered the ...

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      Mentions: London Company World
    7. Breaking Data's Givemesport Partners with McLaren Racing for the World's Fastest Gamer Competition / Givemesport to market this ground-breaking eSports event to its massive worldwide audience on the web

      Breaking Data's Givemesport Partners with McLaren Racing for the World's Fastest Gamer Competition / Givemesport to market this ground-breaking eSports event to its massive worldwide audience on the web

      Breaking Data's GIVEMESPORT Partners with McLaren Racing for the World's Fastest Gamer Competition / GIVEMESPORT to market this ground-breaking eSports event to its massive worldwide audience on the web TORONTO, ONTARIO and LONDON, UNITED KINGDOM -- (Marketwired) -- 05/08/17 -- Breaking Data Corp. (TSX VENTURE: BKD)(OTC PINK: BKDCD) ("Breaking Data" or the "Company") is pleased to announce that it has partnered with McLaren to market World's Fastest Gamer - the world's most intense and demanding competition for virtual racers. It's a contest that will see the winner offered the best job in eSports - a role with the ...

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      Mentions: London Company World
    8. Breaking Data : Givemesport Partners with McLaren Racing for the World's Fastest Gamer Competition

      TORONTO, ONTARIO and LONDON, UNITED KINGDOM--(Marketwired - May 8, 2017) - Breaking Data Corp. (TSX VENTURE:BKD)(OTC PINK:BKDCD) ("Breaking Data" or the "Company") is pleased to announce that it has partnered with McLaren to market World's Fastest Gamer - the world's most intense and demanding competition for virtual racers. It's a contest that will see the winner offered the best job in eSports - a role with the Formula 1 team as one of its official simulator drivers.

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      Mentions: London Company World
    9. Protagonist Platform launches to uncover customer narratives using machine learning

      Protagonist Platform launches to uncover customer narratives using machine learning

      Tags: ai , customer stories , machine learning , marketing , marketing technology , Marketing Weekly , martech , narrative analysis , NLP Image Credit: Shutterstock Despite the breadth and depth of the marketing technology universe and the emergence of AI and machine learning capabilities, marketing hasn’t really changed in hundreds of years. It has always been about understanding your customer and communicating with them efficiently and effectively.

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      Mentions: NLP
    10. Theme 3: Things will get better

      Theme 3: Things will get better

      By Lee Rainie , Janna Anderson and Jonathan Albright The more hopeful among these respondents cited a series of changes they expect in the next decade that could improve the tone of online life. They believe: Technical and human solutions will arise as the online world splinters into segmented, controlled social zones with the help of artificial intelligence (AI ). Anti-harassment is a technologically solvable problem.

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    11. Integrated word N-gram and class M-gram language models

      Systems and processes for discourse input processing are provided. In one example process, a discourse input can be received from a user. An integrated probability of a candidate word in the discourse input and one or more subclasses associated with the candidate word can be determined based on a conditional probability of the candidate word given one or more words in the discourse input, a probability of the candidate word within a corpus, and a conditional probability of the candidate word given one or more classes associated with the one or more words. A text string corresponding to the discourse ...

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    12. Initial thoughts on fairness in paper recommendation?

      There are a handful of definitions of "fairness" lying around, of which the most common is disparate impact: the rate at which you hire members of a protected category should be at least 80% of the rate you hire members not of that category. (Where "hire" is, for our purposes, a prediction problem, and 80% is arbitrary.) DI has all sorts of issues, as do many other notions of fairness, but all the ones I've seen rely on a pre-ordained notion of "protected category".

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      Mentions: Percy Liang NLP
    13. Fake News and Fake Solutions: How Do We Build a Civics of Trust?

      Fake News and Fake Solutions: How Do We Build a Civics of Trust?

      Posted 20 March 2017 16:37 GMT Share this: Protesters fly a flag upside down as a signal of distress outside the offices of The Washington Post in Washington D.C. on Inauguration Day, January 20, 2017. Photo: Ivan Sigal. In his recent manifesto , Mark Zuckerberg asserts that the response to our dysfunctional and conflict-ridden politics is to build a stronger global community based on ubiquitous interconnection.

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    14. Fake News and Fake Solutions: How Do We Build a Civics of Trust? · Global Voices

      Fake News and Fake Solutions: How Do We Build a Civics of Trust? · Global Voices

      Posted 17 March 2017 21:24 GMT Share this: Protesters fly a flag upside down as a signal of distress outside the offices of The Washington Post in Washington D.C. on Inauguration Day, January 20, 2017. Photo: Ivan Sigal. In his recent manifesto , Mark Zuckerberg asserts that the response to our dysfunctional and conflict-ridden politics is to build a stronger global community based on ubiquitous interconnection.

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    15. Using domain knowledge and domain-inspired discourse model for coreference resolution for clinical narratives.

      Using domain knowledge and domain-inspired discourse model for coreference resolution for clinical narratives.

      J Am Med Inform Assoc. 2013 Mar-Apr;20(2):356-62

      Authors: Jindal P, Roth D

      Abstract OBJECTIVE: This paper presents a coreference resolution system for clinical narratives. Coreference resolution aims at clustering all mentions in a single document to coherent entities. MATERIALS AND METHODS: A knowledge-intensive approach for coreference resolution is employed.

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    16. Methods for automated essay analysis

      Systems and methods for creating a mathematical model for use in identifying discourse elements are described. A plurality of first essays relating to a particular subject are received, where each first essay is in an electronic format. Annotations for each first essay are received, where each annotation identifies at least one discourse element. Features are identified with a processor, where each feature is exhibited by at least one identified discourse element. Empirical frequencies are computed with a processor, where each empirical frequency relates to the presence of a feature with respect to the identified discourse elements across the plurality of ...
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    17. Automatic discourse connective detection in biomedical text.

      Related Articles Automatic discourse connective detection in biomedical text. J Am Med Inform Assoc. 2012 Sep-Oct;19(5):800-8 Authors: Ramesh BP, Prasad R, Miller T, Harrington B, Yu H Abstract OBJECTIVE: Relation extraction in biomedical text mining systems has largely focused on identifying clause-level relations, but increasing sophistication demands the recognition of relations at discourse level. A first step in identifying discourse relations involves the detection of discourse connectives: words or phrases used in text to express discourse relations. In this study supervised machine-learning approaches were developed and evaluated for automatically identifying discourse connectives in biomedical text. MATERIALS AND ...
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    18. A Novel System for Unlabeled Discourse Parsing in the RST Framework

      This paper presents UDRST, an unlabeled discourse parsing system in the RST framework. UDRST consists of a segmentation model and a parsing model. The segmentation model exploits subtree features to rerank N-best outputs of a base segmenter, which uses syntactic and lexical features in a CRF framework. In the parsing model, we present two algorithms for building a discourse tree from a segmented text: an incremental algorithm and a dual decomposition algorithm. Our system achieves 77.3% in the unlabeled score on the standard test set of the RST Discourse Treebank corpus, which improves 5.0% compared to HILDA [6 ...
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    19. Conceptual recurrence plots: revealing patterns in human discourse.

      Related Articles Conceptual recurrence plots: revealing patterns in human discourse. IEEE Trans Vis Comput Graph. 2012 Jun;18(6):988-97 Authors: Angus D, Smith A, Wiles J Abstract Human discourse contains a rich mixture of conceptual information. Visualization of the global and local patterns within this data stream is a complex and challenging problem. Recurrence plots are an information visualization technique that can reveal trends and features in complex time series data. The recurrence plot technique works by measuring the similarity of points in a time series to all other points in the same time series and plotting the results ...
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      Mentions: Smith Medline
    20. On the Syntax and Translation of Finnish Discourse Clitics

      Finnish has a set of morphemes called discourse clitics, which attach to words and express things like contrasting and reminding. This paper builds a formal grammar to specify the syntax and morphology of these clitics. The grammar is written in GF, Grammatical Framework, which has a distinction between abstract syntax (tree structures) and concrete syntax (surface structures such as strings). The abstract syntax of clitics defines their contribution to the discourse semantics of sentences, in particular the topic-focus structure. The concrete syntax defines the realization in Finnish. We also show another concrete syntax, for English, which makes it possible to ...
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    21. A computational model for the identification and assessment of structural similarities in argumentative discourses

      Abstract  Contemporary argumentation systems provide limited or no support for argument and related information processing. This paper presents a generic computational model that is able to identify and assess structural similarities in argumentative discourses. Focusing on the structure of such discourses, we sketch representative scenarios where the proposed model can be applied to a wide range of argumentation systems in order to define, elaborate and mine meaningful argumentation patterns. We argue that the proposed model contributes to both theoretical and practical aspects of argumentation. Content Type Journal ArticlePages 1-23DOI 10.1007/s10844-012-0212-9Authors George Gkotsis, Industrial Management and Information Systems Lab ...
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    22. Multi-Dimensional Analysis of Political Language

      This paper presents a method for the valuation of discourses from different linguistic perspectives: lexical, syntactic and semantic. We describe a platform discourse analysis tool (DAT) which integrates a range of language processing tools with the intent to build complex characterisations of the political discourse. The idea behind this construction is that the vocabulary and the clause structure of the sentence betray the speaker’s level of culture, while the semantic classes mentioned in a speech characterises the speaker’s orientation. When the object of study is the political discourse, an investigation on these dimensions could put in evidence features ...
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    1-24 of 110 1 2 3 4 5 »
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