Presentation is available:
Tomorrow's Language Technology website
One part of information extraction is the recognition of named entities in text. This has been long-studied in the research community and there are mature approaches to solving the problem.
This talk is a deeper dive into the topic. There won't be any equations, but you should get an idea of what kinds of features people use and why. I'll then discuss a novel application setting that shows how you can effectively use other data for supervision. Finally, I'll briefly discuss the challenges of information extraction in a conversational context, and talk about the shared tasks the research community is using to explore natural language understanding.