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2012 IEEE Sixth International Conference on Semantic Computing

19-21 Sept. 2012

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Displaying Results 1 - 25 of 73
  • [Cover art]

    Publication Year: 2012, Page(s): C4
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  • [Title page i]

    Publication Year: 2012, Page(s): i
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  • [Title page iii]

    Publication Year: 2012, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2012, Page(s): iv
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  • Table of contents

    Publication Year: 2012, Page(s):v - x
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  • Greetings from the ICSC 2012 General Co-Chairs

    Publication Year: 2012, Page(s): xi
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  • Greetings from the ICSC 2012 Program Committee Co-Chairs

    Publication Year: 2012, Page(s): xii
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  • ICSC 2012 Organizing Committee

    Publication Year: 2012, Page(s):xiii - xiv
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  • ICSC 2012 Program Committee

    Publication Year: 2012, Page(s):xv - xvi
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  • ICSC 2012 Advisory Committee

    Publication Year: 2012, Page(s): xvii
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  • Message from the ICSC 2012 Workshop Co-Chairs

    Publication Year: 2012, Page(s): xviii
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  • Message from the DiDas 2012 Workshop Organizers

    Publication Year: 2012, Page(s): xix
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  • DiDas 2012 Workshop Organizing Committee

    Publication Year: 2012, Page(s): xx
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  • Message from the DQMST 2012 Workshop Co-Chairs

    Publication Year: 2012, Page(s):xxi - xxii
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  • DQMST 2012 Workshop Organizing Committee

    Publication Year: 2012, Page(s): xxiii
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  • Overview of the Special Session on Semantics and Sociolinguistics in Social Media

    Publication Year: 2012, Page(s): xxiv
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  • Sponsors

    Publication Year: 2012, Page(s): xxv
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  • Keynote speakers

    Publication Year: 2012, Page(s):xxvi - xxviii
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (342 KB)

    These keynote speeches discuss the following: ART framework for ontology management; Beyond jeopardy! adapting Watson to the medical domain; and Managing online business communities. View full abstract»

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  • A Motif Approach for Identifying Pursuits of Power in Social Discourse

    Publication Year: 2012, Page(s):1 - 8
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (318 KB) | HTML iconHTML

    In this paper, we investigate whether the social goals of an individual's utterances can be recognized through analysis of a discourse's intentional structure. Specifically we focus on identifying individuals pursuing power within a group. Individuals pursue power in order to increase their control of the actions and goals of the group. Following work in discourse processing we decompose the probl... View full abstract»

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  • The Social Actions of Successful Groups

    Publication Year: 2012, Page(s):9 - 16
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (265 KB) | HTML iconHTML

    The success of a group is determined by a number of factors. Some of these factors, such as task difficulty and availability of resources, are out of a group's control and are constant amongst competing teams working on the same task. One factor which is not constant is the social dynamics of the group. The mix of behaviors by individuals in the group, as seen through social relations, social acti... View full abstract»

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  • Chinese and American Leadership Characteristics: Discovery and Comparison in Multi-party On-Line Dialogues

    Publication Year: 2012, Page(s):17 - 21
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (335 KB) | HTML iconHTML

    Recent advances in automated analysis of on-line chat data allow us to draw conclusions about social behavior, such as leadership, in small groups previously possible only through manual methods of observation and analysis. We have applied such methods to comparable English and Chinese language data, defined a new language use called Tension Focus, and demonstrate its different effects in the data... View full abstract»

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  • The Pursuit of Power and Its Manifestation in Written Dialog

    Publication Year: 2012, Page(s):22 - 29
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (265 KB) | HTML iconHTML

    In this paper we explore the written dialog behavior of participants in anon line discussion for automatic identification of participants who pursue power within the discussion group. We employ various standard unsupervised machine learning approaches to make this prediction. Our approach relies on the identification of certain discourse structures and linguistic techniques used by participants in... View full abstract»

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  • Detecting Opinionated Claims in Online Discussions

    Publication Year: 2012, Page(s):30 - 37
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (360 KB) | HTML iconHTML

    This paper explores the automatic detection of sentences that are opinionated claims, in which the author expresses a belief. We use a machine learning based approach, investigating the impact of features such as sentiment and the output of a system that determines committed belief. We train and test our approach on social media, where people often try to convince others of the validity of their o... View full abstract»

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  • Using Signals from Text to Identify Roles within a Group

    Publication Year: 2012, Page(s):38 - 44
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (341 KB) | HTML iconHTML

    This work investigates identifying social behaviors (adversarial behavior and influence) of participants in online discussion forums from how their language use in English, Arabic, and Chinese. We describe the challenges of annotating implicit information signaled by subtle queues and present two styles of annotation -- one using professional annotators and the other with Mechanical Turk. Our syst... View full abstract»

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  • Utilizing Semantic Composition in Distributional Semantic Models for Word Sense Discrimination and Word Sense Disambiguation

    Publication Year: 2012, Page(s):45 - 51
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (319 KB) | HTML iconHTML

    Semantic composition in distributional semantic models (DSMs) offers a powerful tool to represent word meaning in context. In this paper, we investigate methods to utilize compositional DSMs to improve word sense discrimination and word sense disambiguation. In this work, we rely on a previously proposed multiplicative model of composition. We explore methods to extend this model to exploit richer... View full abstract»

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