All campus events (including Division of Extension sponsored events outside of Dane County) are canceled through June 30, with limited exceptions to be granted by deans or vice chancellors. Even if an event is not yet labeled as canceled, it's likely to be canceled, postponed or modified to online only, from now through June 30. Please check with organizers before attending.
Colloquium: Learning to Understand Entities In Text
Monday, April 8, 2019
Real world entities such as people, organizations and countries play a critical role in text. Reading offers rich explicit and implicit information about these entities, such as the categories they belong to, relationships they have with other entities, and events they participate in. In this talk, we introduce approaches to infer implied information about entities, and to automatically query such information in an interactive setting. We expand the scope of information that can be learned from text for a range of tasks, including sentiment extraction, entity typing and question answering. To this end, we introduce new ideas for how to find effective training data, including crowdsourcing and large-scale naturally occurring weak supervision data. We also describe new computational models, that represent rich social and conversation contexts to tackle these tasks. Together, these advances significantly expand the scope of information that can be incorporated into the next generation of machine reading systems.
Coffee and cookies will be available.