Dr. Hong Chui, University of Arizona, presents “Fine Grained Semantic Annotation of Morphological Descriptions in Biodiversity Domain” on Oct. 13 from 11:00–12:00 p.m. in the Gregory Conference Room of the Goldstein Library.
Dr. Hong Chui will be visiting on Oct. 13-14. Her research:
- focuses on the application of machine learning techniques on the management of the many kinds of information associated with biodiversity.
- has led to a number of peer-reviewed publications and presentations at refereed conferences, and she was honored with the prestigious Berner Nash Memorial Award for outstanding doctoral dissertation.
- Has led to academic honors including the Jean Tague-Sutcliffe Doctoral Poster Award from the Association for Library and Information Science Education (ALISE).
“In this talk, I will describe the linguistic features of morphological descriptions and the language processing methods that have been applied,” she said. “I will set a heuristic rule based markup algorithm in the context of the previous research and their results, and tentatively draw a conclusion that morphological descriptions are more complicated syntactically than many had expected. I will then present a set of most recent results using unsupervised machine learning methods and a general-purpose parser (Stanford Parser) that are significantly better than those produced by the heuristic rule based method.”