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Events for June 23, 2016

  • Repeating EventSix Sigma Green Belt for Process Improvement

    Thu, Jun 23, 2016

    DEN@Viterbi, Executive Education

    Conferences, Lectures, & Seminars


    Abstract: Course Dates: June 21-23, 2016
    Available: On-campus or Online with Interactivity

    This program, an introductory course in Six Sigma, will give you a thorough understanding of Six Sigma and its focus on eliminating defects through fundamental process knowledge. Topics covered in addition to DMAIIC and Six Sigma philosophy include basic statistics, statistical process control, process capability, financial implications and root cause analysis.

    More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-green-belt-process-improvement

    Audiences: Registered Attendees

    View All Dates

    Contact: Viterbi Professional Programs

    Event Link: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-green-belt-process-improvement

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  • NL Seminar-Neural network models for structured prediction

    Thu, Jun 23, 2016 @ 03:00 PM - 04:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Yue Zhang, Singapore University of Technology and Design

    Talk Title: Neural network models for structured prediction

    Series: Natural Language Seminar

    Abstract: Transition-based methods leverage non-local features for structured tasks. When combined with beam search and global structure learning, they give high accuracies for a number of NLP tasks. We investigate the effectiveness of neural network models for transition-based parsing and Chinese word segmentation. Results show that automatic features induced by neural models give higher accuracies than carefully designed manual features. The beam search and perceptron learning framework of Zhang and Clark (2011) can be used with neural network models. However, large margin training does not always work. When the number of labels are many, a maximum likelihood training objective with contrastive estimation learning gives better accuracies.



    Biography: Yue Zhang is currently an assistant professor at Singapore University of Technology and Design. Before joining SUTD in July 2012, he worked as a postdoctoral research associate in University of Cambridge, UK. Yue Zhang received his DPhil and MSc degrees from University of Oxford, UK, and his BEng degree from Tsinghua University, China. His research interests include natural language processing, machine learning and artificial Intelligence. He has been working on statistical parsing, parsing, text synthesis, machine translation, sentiment analysis and stock market analysis intensively. Yue Zhang serves as the reviewer for top journals such as Computational Linguistics, Transaction of Association of Computational Linguistics and Journal of Artificial Intelligence Research. He is also PC member for conferences such as ACL, COLING, EMNLP, NAACL, EACL, AAAI and IJCAI. Recently, he was the area chairs of COLING 2014, NAACL 2015 and EMNLP 2015.

    Host: Xing Shi and Kevin Knight

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

    Location: Information Science Institute (ISI) - 6th Floor -CR # 689; ISI-Marina del Rey

    Audiences: Everyone Is Invited

    Contact: Peter Zamar

    Event Link: http://nlg.isi.edu/nl-seminar/

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