The University of Massachusetts Amherst
University of Massachusetts Amherst

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Yoon Kim (Harvard NLP)

Machine Learning and Friends Lunch
Thursday, September 19, 2019 - 11:45am
Computer Science Building, Room 150/151

 

Neural Grammar Induction

Abstract

Grammar induction is the task of inducing hierarchical syntactic structure from observed sentences alone. It is a longstanding problem in AI/NLP with potential scientific implications for understanding human language acquisition and engineering implications for improving machine learning systems. In this talk, I will discuss two recent works on unsupervised grammar induction with neural networks: (1) a method for learning a good generative model of language (i.e. language model) while at the same time inducing linguistically meaningful tree structures; (2) an approach to learning non-context free grammars by revisiting and extending the classical approach to grammar induction with probabilistic context-free grammars.
 

Bio:

Yoon Kim is a fifth-year Ph.D. candidate in computer science at Harvard University. He is advised by Alexander Rush. He is supported by a Google Fellowship.