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Toward Broad and Deep Language Understanding for Intelligent Systems

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  • UserMarjorie McShane (Rensselaer Polytechnic Institute)
  • ClockFriday 22 October 2021, 12:00-13:00
  • HouseVirtual (Zoom).

If you have a question about this talk, please contact Huiyuan Xie .

Join Zoom Meeting https://cl-cam-ac-uk.zoom.us/j/98073466422?pwd=Z3pqTitKeUU2UThVdVpjeGhRQjVPQT09

Meeting ID: 980 7346 6422 Passcode: 812664

The early vision of AI included the goal of endowing intelligent systems with human-like language processing capabilities. This proved harder than expected, leading the vast majority of natural language processing practitioners to pursue less ambitious, shorter-term goals. Whereas the utility of human-like language processing is unquestionable, its feasibility is quite justifiably questioned. In this talk, I will not only argue that some approximation of human-like language processing is possible, I will present a program of R&D that is working on making it a reality. This vision, as well as progress to date, is described in the book Linguistics for the Age of AI (MIT Press, 2021).

This talk is part of the NLIP Seminar Series series.

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