Natural Language Processing
Date: 4:00pm PDT September 24, 2018 Location: J.R. Howard Hall 121
J.R. Howard Hall 121
Dependency parsing in natural language processing applications
Katie Keith ’15, a Ph.D. Student in Computer Science at the University of Massachusetts at Amherst will present.
How do we build artificial intelligence that can understand languages produced by humans?
Questions like this are answered by natural language processing (NLP), a field that draws on methods from computer science, machine learning, and linguistics. This talk will describe several foundational concepts in modern NLP including dependency parsing, constructing directed graphs over words in a sentence in order to analyze its structure; show how dependency parses were used in recent research of extracting from news articles names of people killed by police (Keith et al., EMNLP, 2017); and describe improvements upon existing greedy algorithms for dependency parsing by extracting entire parse forests (Keith et al., NAACL, 2018).