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Events for December 09, 2021
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PhD Thesis Proposal -Yury Zemlyanskiy
Thu, Dec 09, 2021 @ 11:00 AM - 01:00 PM
Thomas Lord Department of Computer Science
University Calendar
PhD Candidate: Yury Zemlyanskiy
Title: Parametric and semi-parametric methods for knowledge acquisition from text
Time: 11:00 AM-1:00 PM PST, Dec 9 (Thursday)
Committee: Fei Sha, Leana Golubchik, Xiang Ren, Robin Jia, Jonathan May, and Meisam Razaviyayn (external).
Zoom link: https://usc.zoom.us/j/95672050503
Abstract:
Knowledge acquisition is a crucial characteristic of an intelligent system that allows the processing of large amounts of information. Nonetheless, modern neural networks (e.g., BERT) used in natural language processing typically do not have a dedicated memory component. The knowledge about the world that the models acquire is stored implicitly in the model's parameters. This proves unreliable and makes the models ill-suited for knowledge-intensive tasks that require reasoning over vast amounts of textual data.
My thesis explores alternative parametric and semi-parametric methods to extract and represent knowledge from text. Specifically, the proposed methods seek to establish several desirable properties for the neural network memory component. First, the memory should benefit the model and allow it to reason over large amounts of textual information. Second, the memory should be amendable and adapt to a new context (a different book or collection of articles) on the fly. Finally, certain applications will benefit from the transparent structure of the memory, allowing queries on information about particular objects or entities.
The proposed thesis consists of three sections: the first section focuses on parametric memory for a pre-defined set of entities. The second section explores a semi-parametric approach to capturing entity-centric facts in a long document or entire corpus. Finally, the last section discusses future work on memory specialized for structure prediction tasks.WebCast Link: https://usc.zoom.us/j/95672050503
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
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CANCELLED - DEI Committee Meeting
Thu, Dec 09, 2021 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Receptions & Special Events
Bi-Weekly DEI Committee meeting for invited full-time Computer Science faculty only. Event details emailed directly to attendees.
Audiences: Invited Faculty Only
Contact: Assistant to CS chair
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PhD Thesis Proposal - Sarah Cooney
Thu, Dec 09, 2021 @ 03:00 PM - 04:30 PM
Thomas Lord Department of Computer Science
University Calendar
PhD Thesis Proposal - Sarah Cooney
Thur, Dec 9, 2021 @ 03:00 PM - 04:30 PM
Committee members: Chair: Prof. Barath Raghavan, Prof. Romesh Govindan, Prof. Heather Culbertson, Prof. Bistra Dilkina, Prof. Hajar Yazdiha (Sociology)
Title:
Toward Sustainable and Resilient Communities
with HCI: Physical Structures and Socio-Cultural Factors
Abstract:
Recently, large-scale global challenges such as shifting weather patterns due to climate change and the Covid-19 pandemic have caused us to be more reliant than ever on the resources and resilience of our local communities. My research looks at how computing can be applied to the challenges of creating sustainable and resilient communities equipped to handle such challenges at the local level. My work covers two complementary threads. The first looks at how technology can be used to influence grassroots redesign of urban spaces to promote sustainability, community resilience, and individual wellbeing. Within this area I have worked on three specific projects which I will discuss in more detail. The second thread looks at sustainability and sustainable HCI from a socio-cultural perspective. Specifically, I have been looking at the way that religion and spirituality can influence the intersections of sustainability and technology use, and I will discuss my ongoing study in this area as well.
Zoom link: https://usc.zoom.us/j/96182449560
WebCast Link: https://usc.zoom.us/j/96182449560
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
