STEM Speaker Series: “Representing Knowledge through Word and Graph Embeddings” with Dr. Steven Skiena

Posted on February 3, 2020 by Clara Tran

Interested in word and graph embeddings? Spend an hour with our STEM speaker, Dr. Steven Skiena from the Department of Computer Science, to learn about “Representing Knowledge through Word and Graph Embeddings.”

Date/Time: Tuesday, February 11 from 1pm-2pm

Location: Special Collections Seminar Room, E2340, second floor of the Melville Library

Libraries are about representing large quantities of knowledge to make them broadly useful and available. Similarly, word and graph embeddings (e.g. word2vec) provide powerful ways to reduce large text corpora to concise features readily applicable to a variety of problems in NLP and data science. Dr. Skiena will introduce word embeddings, and apply them in variety of new and interesting directions, including: (1) Multilingual NLP, (2) Detecting Historical Shifts in Word Meaning, and (3) Feature Extraction from Graphs.

Dr. Steven Skiena is Distinguished Teaching Professor of Computer Science and Director of the Institute for AI-Driven Discovery and Innovation at Stony Brook University. His research interests include data science, bioinformatics, and algorithms. He is the author of six books, including “The Algorithm Design Manual”, “The Data Science Design Manual”, and “Who’s Bigger: Where Historical Figures Really Rank”.

Dr. Skiena received his Ph.D. in Computer Science from the University of Illinois in 1988. He is the author of over 150 technical papers. He is a Fellow of the American Association for the Advancement of Science (AAAS), a former Fulbright scholar, and recipient of the ONR Young Investigator Award and the IEEE Computer Science and Engineer Teaching Award. More info is available at http://www.cs.stonybrook.edu/~skiena/.

Please register here and join us for this special event.