#62 Dr. GUY EMERSON [Unplugged]
We released this on our audio-only podcast a month or so back. Due to popular demand, we have brought it to YouTube! We have changed our mind on our original decision to make the "unplugged" shows audio-only.
Dr. Guy Emerson is a computational linguist and obtained his Ph.D from Cambridge university where he is now a research fellow and lecturer. On panel we also have myself, Dr. Tim Scarfe, as well as Dr. Keith Duggar and the veritable Dr. Walid Saba. We dive into distributional semantics, probability theory, fuzzy logic, grounding, vagueness and the grammar/cognition connection.
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 by 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
Patreon: https://www.patreon.com/mlst
Discord: https://discord.gg/ESrGqhf5CB
#linguistics
Видео #62 Dr. GUY EMERSON [Unplugged] канала Machine Learning Street Talk
Dr. Guy Emerson is a computational linguist and obtained his Ph.D from Cambridge university where he is now a research fellow and lecturer. On panel we also have myself, Dr. Tim Scarfe, as well as Dr. Keith Duggar and the veritable Dr. Walid Saba. We dive into distributional semantics, probability theory, fuzzy logic, grounding, vagueness and the grammar/cognition connection.
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 by 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
Patreon: https://www.patreon.com/mlst
Discord: https://discord.gg/ESrGqhf5CB
#linguistics
Видео #62 Dr. GUY EMERSON [Unplugged] канала Machine Learning Street Talk
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