COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Language Technology Lab Seminars > Understanding Event Processes in Natural Language
Understanding Event Processes in Natural LanguageAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Qianchu Liu. Human languages evolve to communicate about real-world events. Therefore, understanding events plays a critical role in natural language understanding (NLU). A key challenge to this mission lies in the fact that events are not just simple, standalone predicates. Rather, they are often described at different granularities, form different temporal orders, and directed by specific central goals in the context. This talk will present two parts of our recent studies on Event-centric NLU . In the first part, I will talk about how logically constrained learning can help teach machines to understand temporal relations, membership relations and coreference of events (e.g., what should be the right process of “defend a dissertation”, “taking courses”, “publish papers” regarding “earning a PhD”?). The second part will talk about how to teach machines to understand the intents and central goals behind event processes (e.g, do machines understand that “ making a dough”, “adding toppings”, “preheating the oven” and “baking the dough” lead to “cooking pizza”?). I will also briefly discuss some recent advances and open problems in Event-centric NLU , along with a system demonstration. This talk is part of the Language Technology Lab Seminars series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsType the title of a new list herecircle Faculty of Economics Dementia Journal ClubOther talksNon-racism and Toxic Interaction Theory in Mental Health Practice: Professional responsibility in the light of systemic racism The biology of CNS progenitor ageing Cambridge Journal of Economics 2021 Conference Development of the social brain in adolescence and effects of social distancing Maximum entropy, uniform measure |