Jordan Boyd-Graber

Machine Learning: Multiclass Classification

Understanding Word2Vec

Dirichlet Process Mixture Models and Gibbs Sampling

Machine Learning: Variational Inference

Computational Linguistics I: Python and Probability

Continuous Distributions: Beta and Dirichlet Distributions

Topic Models

Introduction to Computational Linguistics

Topic Models: Introduction

Topic Models: Gibbs Sampling (13c)

Linear Perceptron Example

Machine Learning: Ranking

How a Computer knows a Sentence is Grammatical: Context Free Grammars [Lecture]

Pytorch Introduction (pointer to Python Engineer)

Python Classes (01d)

Support Vector Machines: Kernel Methods

Information Retrieval: Introduction

The Grammar of Graphics / plotnine (07a)

[Lecture] What data do you use to train a computer to answer questions?

Stat Tests Confidence Intervals

Item Response Theory: The Math Behind Standardized Tests [Lecture]

Using Machine Learning to Detect Whether Text is a Spoiler (or Not)

Quick Python Review: Classes, Grabbing Code from Git

The most common LaTeX errors that will get your submitted paper rejected

How to Parse a Sentence with the CYK Algorithm [Lecture]

How do computers know what "it" means: The problem of "coref"

Is Topic Model Evaluation Broken? The Incoherence of Coherence [NeurIPS 2021 Research Talk]

Deep Learning Frameworks: Computation Graphs

What BERT Can’t Do: The Transformer's Decoder [Lecture]

Support Vector Machines Introduction

Joint Distributions, Unions, and Intersections (2ab)

Digging into Data: Processing and Visualizing Data

How do you get a computer (BERT) to read a Wikipedia to answer a question? [Lecture]

Clustering and K-Means Algorithm

How to Write a NLP or ML Paper that will be Accepted at a Conference

How to Turn Words into Trees: Dependency Parsing [Lecture]

Topic Models: Variational Inference for Latent Dirichlet Allocation (with Xanda Schofield)

The Viterbi Algorithm for Finding a Sentence's Parts of Speech with a Hidden Markov Model [Lecture]

Why I Teach Useless Machine Learning Algorithms

A Discriminative Topic Model using Document Network Structure

[Research, NeurIPS 2021] Is Topic Model Evaluation Broken? The Incoherence of Coherence

Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence [Paper Read Out Loud]