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Events for August 08, 2019

  • Repeating EventSix Sigma Black Belt

    Thu, Aug 08, 2019 @ 09:00 AM - 05:00 PM

    Executive Education

    Conferences, Lectures, & Seminars


    Abstract: Week 1: June 4-7, 2019
    Week 2: July 15-19, 2019
    Week 3: August 5-9, 2019
    9am - 5pm

    Learn the advanced problem-solving skills you need to implement the principles, practices, and techniques of Six Sigma to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements, and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certificate. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process, as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis, and simulation. Computer applications are emphasized.

    NOTE: Participants must provide a windows based computer running Microsoft Office to the seminar.

    More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/

    Audiences: Registered Attendees

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    Posted By: Corporate & Professional Programs

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  • NL Seminar-MODELLING THE INTERPLAY OF METAPHOR AND EMOTION, AND A PEEK AT THE UNDERLYING COGNITIVE MECHANISMS

    Thu, Aug 08, 2019 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Ekaterina Shutova, Univ of Amsterdan

    Talk Title: MODELLING THE INTERPLAY OF METAPHOR AND EMOTION, AND A PEEK AT THE UNDERLYING COGNITIVE MECHANISMS

    Series: Natural Language Seminar

    Abstract: Besides making our thoughts more vivid and filling our communication with richer imagery, metaphor plays a fundamental structural role in our cognition, helping us to organise and project knowledge. For example, when we say "a well-oiled political machine", we view the concept of political system in terms of a mechanism and transfer inferences from the domain of mechanisms onto our reasoning about political processes. Much previous research on metaphor in linguistics and psychology suggests that metaphorical phrases tend to be more emotionally evocative than their literal counterparts. In this talk, I will present our recent work investigating the relationship between metaphor and emotion within a computational framework, by proposing the first joint model of these phenomena. We experiment with several multitask learning architectures for this purpose and demonstrate that metaphor identification and emotion prediction mutually benefit from joint learning, advancing the state of the art in both of these tasks.
    In the second half of the talk, I will discuss how general-purpose semantic representations can be used to better understand metaphor processing in the human brain. In a series of experiments, we evaluate a range of semantic models word embeddings, compositional models, visual and multimodal models in their ability to decode brain activity associated with reading of literal and metaphoric sentences. Our results point to interesting differences in the processing of metaphorical and literal language.



    Biography: Ekaterina Shutova is an Assistant Professor at the Institute for Logic, Language and Computation at the University of Amsterdam. Her research is in the area of natural language processing with a specific focus on computational semantics, figurative language processing, multilingual NLP and cognitively driven semantics. Previously, she worked at the University of Cambridge Computer Laboratory and the International Computer Science Institute and the Institute for Cognitive and Brain Sciences at the University of California, Berkeley. She received her PhD in Computer Science from the University of Cambridge in 2011.

    Host: Xusen Yin

    More Info: https://nlg.isi.edu/nl-seminar

    Webcast: https://bluejeans.com/s/Mws0S/

    Location: Information Science Institute (ISI) - CR #1014-Multi Purpose Rm

    WebCast Link: https://bluejeans.com/s/Mws0S/

    Audiences: Everyone Is Invited

    Posted By: Peter Zamar

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