Computer Science

Colloquium Speaker Dr. Kenji Sagae from the Department of Linguistics, UC Davis


Colloquium Speaker Dr. Kenji Sagae from the Department of Linguistics, UC Davis

Host: Premkumar Devanbu

When: Thursday, October 27th at 3:10pm
Where: 1065 Kemper Hall

Title:
Accurate and efficient data-driven analysis of natural language structure

Abstract:
Automatic analysis of the structure and meaning of natural language is a fundamental problem in computational linguistics and an enabling capability for a wide range of language technology applications, such as machine translation, question answering and dialogue systems. I will present a framework for efficient parsing that deals effectively and efficiently with the exponential search space of possible analyses for natural language input. This involves a shift-reduce parsing algorithm and a novel approach for structured prediction that, unlike previous approaches, allows both efficient training and the use of best-first search during run-time. Using a simple feed-forward neural network as the learning component, this work outperforms previous approaches, including those based on more complex architectures for structured prediction.

kenji_sagae

Bio:
Kenji Sagae is an assistant professor of Linguistics at UC Davis. Since completing his PhD at Carnegie Mellon University, he has been a research associate in Computer Science at the University of Tokyo, a research faculty member of the Computer Science department at the University of Southern California, a project leader at the USC Institute for Creative Technologies, and a co-founder of KITT.AI, a natural language processing start-up. His research interests are in computational linguistics and data-driven natural language processing, including the design of algorithms and learning approaches for linguistic analysis and language technology applications.

Location
1131 Kemper Hall

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