Current / Upcomming

Instructor:

• Natural Language Processing, Sydney, Semester 1 2023
  I encourage third year students with a Distinction average in CS subjects to take the course!

Talks:

• Basser Seminar, Sydney, October 2022

Previous

Instructor:

• Artificial Intelligence, Berkeley, Summer 2014

Teaching Assistant:

• Artificial Intelligence, Berkeley, Fall 2011
• Artificial Intelligence (Advanced), Sydney, Semester 1 2009
• Informatics (Advanced), Sydney, Semester 1 2009

Talks:

• Cornell Tech / Cornell University, April 2022
  “You Are What You Train On: Creating Robust Natural Language Interfaces”
• CSIRO, April 2022
  “You Are What You Train On: Creating Robust Natural Language Interfaces”
• 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”
  “Towards Parsing Multiple Syntactic and Semantic Representations with a Single Model”
• 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?”

Guest Lecturer:

• DATA3406: Human-in-the-Loop Data Analytics, Sydney, Semester 2, 2021
  “Human-in-the-Loop Natural Language Processing”
• DATA1002: Informatics: Data and Computation, Sydney, 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”