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Home > Machine Learning Street Talk > #062 - Dr. Guy Emerson - Linguistics, Distributional Semantics
Podcast: Machine Learning Street Talk
Episode:

#062 - Dr. Guy Emerson - Linguistics, Distributional Semantics

Category: Technology
Duration: 01:29:50
Publish Date: 2022-02-03 12:41:59
Description:

Dr. Guy Emerson is a computational linguist and obtained his Ph.D from Cambridge university where he is now a research fellow and lecturer. We also have Dr. Tim Scarfe, Dr. Keith Duggar and the veritable Dr. Walid Saba on the panel. We dive deep into distributional semantics, probability theory, logic, grounding, vagueness and grammar engineering.

The aim of distributional semantics is to design computational techniques that can automatically learn the meanings of words from a body of text. The twin challenges are: how do we represent meaning, and how do we learn these representations? We want to learn the meanings of words from a corpus, exploiting the fact that the context of a word tells us something about its meaning. This is known as the distributional hypothesis. In his Ph.D thesis, Dr. Guy Emerson presented a distributional model which can learn truth-conditional semantics which are grounded by objects in the real world.

Hope you enjoy the show!

https://www.cai.cam.ac.uk/people/dr-guy-emerson

https://www.repository.cam.ac.uk/handle/1810/284882?show=full

https://www.semanticscholar.org/paper/Computational-linguistics-and-grammar-engineering-Bender-Emerson/bbd6f3b92a0f1ea8212f383cc4719bfe86b3588c

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