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[ONRG2018] Learning an effective representation for the hidden semantics

Information

PI: Assoc. Prof. Than Quang Khoat
Time: 2018-2020
Funding: US Office of Naval Research Global, and US Air Force Office of Scientific Research
Main areas: Representation learning, Big data

Intro

Background: Semantic representation is always challenging.

Objective: Develop methods for learning efficient representations of the hidden semantics from big/streaming data

Tools:

Topic models + Neural nets (extracting hidden semantics)
Topic models + Neural nets (extracting hidden semantics)
Human knowledge as prior (providing supervision)

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[ONRG2018] Learning an effective representation for the hidden semantics