Only connect! Two explorations in using graphs for IR and NLP – Lillian Lee (Cornell)
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Can we create a system that can learn to understand political speeches well enough to determine the speakers’ viewpoints? Can we improve information retrieval by using link analysis, as is famously done in Web search, if we are dealing with documents that don’t contain hyperlinks? And how can these two questions form the basis of a coherent talk? Answer: graphs! Joint work with Oren Kurland, Bo Pang, and Matt Thomas.
Lillian Lee is an associate professor of computer science at Cornell University. She is the recipient of the Best Paper Award at HLT-NAACL 2004 (joint with Regina Barzilay), a citation in “Top Picks: Technology Research Advances of 2004” by Technology Research News (also joint with Regina Barzilay), and an Alfred P. Sloan Research Fellowship.