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Events for July 27, 2018
Fri, Jul 27, 2018
Viterbi School of Engineering Undergraduate Admission
This half day program is designed for prospective freshmen (HS juniors and younger) and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.
Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m.
Please make sure to check availability and register online for the session you wish to attend. Also, remember to list an Engineering major as your "intended major" on the webform!
Audiences: Everyone Is Invited
Contact: Viterbi Admission
Fri, Jul 27, 2018 @ 09:00 AM - 01:00 PM
Viterbi School of Engineering K-12 STEM Center
Receptions & Special Events
Annual event where middle and high school students are introduced to various STEM fields by interacting with USC faculty, USC students and Industry Professionals. STEM areas covered are:
aerospace engineering, architecture, biology, biomedical engineering, chemical engineering, chemistry, civil engineering, computer science, earth science, electrical engineering, environmental science, industrial engineering, mathematics, mechanical engineering, neuroscience, physics, and spatial science
Location: Kaprielian Hall (KAP) -
Audiences: Middle and high school students
Fri, Jul 27, 2018 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Matt Gardner, Allen Institute for Artificial Intelligence AI2
Talk Title: A Tale of Two Question Answering Systems
Series: Natural Language Seminar
Abstract: The path to natural language understanding goes through increasingly challenging question answering tasks. I will present research that significantly improves performance on two such tasks: answering complex questions over tables, and open-domain factoid question answering. For answering complex questions, I will present a type-constrained encoder decoder neural semantic parser that learns to map natural language questions to programs. For open-domain factoid QA, I will show that training paragraph level QA systems to give calibrated confidence scores across paragraphs is crucial when the correct answer containing paragraph is unknown. I will conclude with some thoughts about how to combine these two disparate QA paradigms, towards the goal of answering complex questions over open-domain text.
Biography: Matt Gardner is a research scientist at the Allen Institute for Artificial Intelligence AI2, where he has been exploring various kinds of question answering systems. He is the lead designer and maintainer of the AllenNLP toolkit, a platform for doing NLP research on top of pytorch. Matt is also the cohost of the NLP Highlights podcast, where, with Waleed Ammar, he gets to interview the authors of interesting NLP papers about their work. Prior to joining AI2, Matt earned a PhD from Carnegie Mellon University, working with Tom Mitchell on the Never Ending Language Learning project.
Host: Nanyun Peng
More Info: http://nlg.isi.edu/nl-seminar/
Audiences: Everyone Is Invited
Contact: Peter Zamar