
#062 - Dr. Guy Emerson - Linguistics, Distributional Semantics
About this episode
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
Patreon: https://www.patreon.com/mlst
Get every episode summarized
Each time Machine Learning Street Talk (MLST) publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Machine Learning Street Talk (MLST)

AI 2040: Plan A report - Daniel Kokotajlo & Thomas Larsen
Machine Learning Street Talk (MLST)

Designing How AI Grows — Tom McGrath
Machine Learning Street Talk (MLST)

Stealing Reasoning Traces from Proprietary LLM APIs — Ilia Shumailov & Alexander...
Machine Learning Street Talk (MLST)

Every Exponential Ends — Silicon Valley Forgot — Adam Becker
Machine Learning Street Talk (MLST)