Teaching

I am not currently teaching. In 2023, I will be teaching “Comp 5046: Natural Language Processing”. I encourage third year students with a Distinction average in CS subjects to take the course!

Talks:

Spotify, February 2022
“You Are What You Train On: Creating Robust Natural Language Interfaces”
University of Wisconsin-Madison, March 2021
“You Are What You Train On: Creating Robust Natural Language Interfaces”
Yale University, February 2021
“You Are What You Train On: Creating Robust Natural Language Interfaces”
3M / MModal, February 2021
“You Are What You Train On: Creating Robust Natural Language Interfaces”
Google, February 2021
“You Are What You Train On: Creating Robust Natural Language Interfaces”
University of Maryland, College Park, February 2021
“You Are What You Train On: Creating Robust Natural Language Interfaces”
George Mason University, February 2021
“You Are What You Train On: Creating Robust Natural Language Interfaces”
University of Arizona, Fev 2021
“You Are What You Train On: Creating Robust Natural Language Interfaces”
Northeastern University, February 2021
“You Are What You Train On: Creating Robust Natural Language Interfaces”
Virginia Tech, February 2021
“You Are What You Train On: Creating Robust Natural Language Interfaces”
University of Sydney, January 2021
“You Are What You Train On: Creating Robust Natural Language Interfaces”
University of California, Berkeley, NLP Seminar, February 2018
“Representing Online Conversation Structure with Graphs”
Midwest Speech and Language Days & CL Colloquium, May 2017, May 2018
“Modeling Discourse Structure with Conversation Graphs”
University of Macquarie, Centre for Language Tech., June 2016, August 2017
“Parsing with Graph Structured Output” “Extracting Structured Information from Noisy Online Text”
Sydney Humans, Language, Technology MeetUp, May 2016, August 2017
“Linguistic structure & parsing in practice” “Location and Language; Analysing Cybercriminal Markets”
University of Sydney, May 2016
“Algorithms for Parsing with Graph Structured Output”
Information Sciences Institute, Natural Language Seminar, March 2016
“Capturing More Linguistic Structure with Graph-Structured Parsing”
CommonCrawl, Big Open Data Hackathon, May 2014
“Tasks and Tools in NLP”
Cambridge Computer Laboratory, August 2013
“Where did it all go wrong? New Tools for Automatic Error Analysis in NLP”
Berkeley Syntax Circle, December 2012
“What’s wrong with this parse tree?”

Instructor:

Artificial Intelligence, Berkeley, Summer 2014

Teaching Assistant:

Artificial Intelligence, Berkeley, Fall 2011
Artificial Intelligence (Advanced), Sydney, Fall 2009
Informatics (Advanced), Sydney, Fall 2009

Guest Lecturer:

DATA3406: Human-in-the-Loop Data Analytics, Semester 2, 2021
“Human-in-the-Loop Natural Language Processing”
DATA1002: Informatics: Data and Computation, Semester 2, 2021
“Natural Language Processing”
Conversational AI, Michigan, Spring 2020
“NLP: overview, non-DNN approaches, computational linguistics”
“NLP: Special topics (research)”
STEM Posse, Michigan, Summer 2019
“Workshop building language models”
The Anatomy of Natural Language Processing Systems, Michigan, Winter 2018
“The Sapphire Dialogue Project”
The Beauty and Joy of Computing, Berkeley, Summer 2014
“Artificial Intelligence”
Applied Natural Language Processing, Berkeley, Fall 2013
“Live: Coding a parser to understand the challenges of parsing”
Proseminar in the Digital Humanities, Berkeley, Spring 2013
“The latest in Entity Recognition and Syntactic Parsing”

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