Podknife - #062 - Dr. Guy Emerson - Linguistics, Distributional Semantics by Machine Learning Street Talk (MLST)

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

Podcast |: Machine Learning Street Talk (MLST)
Publisher |: Machine Learning Street Talk (MLST)
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Interview,; Machine Learning,; Technology
Categories Via RSS |: Technology
Publication Date |: Feb 03, 2022
Episode Duration |: 01:29:50

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

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