Events for May 17, 2013
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AI Seminar
Fri, May 17, 2013 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Gully Burns, Project Leader. ISI
Talk Title: Introducing paradigms as a viable structural guide for biomedical knowledge engineering
Abstract: Following Thomas Kuhn's seminal 1962 book in which he introduced the notion of scientific paradigms, we here describe a computational methodology that leverages that concept in a concrete formulation. I describe this approach partially as a methodology for framing and scoping the knowledge representation and analysis work necessary to build tools to serve a specific community. However this approach also has technical implications that are relevant to semantic web representations, the use of workflows and reasoning and the way that we derive content from existing scientific artefacts. We will explore this viewpoint in the context of a well defined domain problem (Biomarker studies of neurodegenerative diseases) with the strategic intent of developing a practical, scoped view of biomarker data that could serve as the basis of corollary work within AI computer science groups.
Biography: Gully Burns develops pragmatic biomedical knowledge engineering systems for scientists that (a) provide directly useful functionality in their everyday use and (b) is based on innovative, cutting edge computer science that subtlely transforms our ability to use knowledge. He was originally trained as a physicist at Imperial College in London before switching to do a Ph.D. in neuroscience at Oxford. He came to work at USC in 1997, developing the 'NeuroScholar' project in Larry Swanson's lab before joining the Information Sciences Institute in 2006. He is now works as project leader in ISI's Information Integration Group, as well as a Research Assistant Professor of neurobiology at USCââ¬â¢s College of Letters, Arts and Sciences. He maintains a personal blog called 'Ars-Veritatis, the art of truth', and is very interested in seeing how his research in developing systems for scientists could translate to helping and supporting understanding and our use of knowledge in everyday life.
Host: David Chiang
More Info: http://www.isi.edu/technology_groups/insy/home
Webcast: TBALocation: Information Science Institute (ISI) - 11th floor conference room
WebCast Link: TBA
Audiences: Everyone Is Invited
Contact: Kary LAU
Event Link: http://www.isi.edu/technology_groups/insy/home
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Qing Dou- NL Seminar: "Deciphering Gigaword:"
Fri, May 17, 2013 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Qing Dou, USC/ISI
Talk Title: Deciphering Gigaword
Series: Natural Language Seminar
Abstract: Abstract: State of the art machine translation systems learn translation rules from large amounts of parallel data (pairs of sentences that are translation of each other). Unfortunately, the amount of parallel data is very limited for many languages and domains. In general, it is easier to obtain monolingual data. Is it possible to learn useful translations from large amounts of monolingual data to improve machine translation when the amount of parallel data is limited? In this talk, I will present my ongoing work that applies decipherment techniques to decipher hundreds of millions Spanish news texts into English and learns a translation lexicon from the decipherment to improve a translation model learned from limited parallel data.
Biography: Home Page:http://www.isi.edu/~qdou/qdou_cv.pdf
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
