Patrick Huber
Welcome to my Website!
I am a third year Ph.D. candidate in the NLP Lab at the University of British Columbia.
I am interested in innovative applications of machine learning methods and algorithms, focusing on designing and implementing computational models that enable automated systems to better understand natural language.
Talks
| Nov 30, 2021 |
Lecture
CPSC 422, UBC Presented my research as part of the CPSC 422: Artificial Intelligence 2 - Intelligent Systems course |
| Aug 2, 2021 |
Conference Presentation
ACL, Online Presented my paper “W-RST: Towards a Weighted RST-style Discourse Framework” |
| Apr 12, 2021 |
Lecture
CPSC 422, UBC Presented my research as part of the CPSC 422: Artificial Intelligence 2 - Intelligent Systems course |
| Feb 5, 2021 |
Conference Presentation
AAAI, Online Presented my paper “Unsupervised Learning of Discourse Structures using a Tree Autoencoder” |
| Dec 10, 2020 |
Conference Presentation
COLING, Online Presented my paper “From Sentiment Annotations to Sentiment Prediction through Discourse Augmentation” |
| Nov 20, 2020 |
Conference Presentation
CODI, Online Presented my two extended abstracts on “Unsupervised Inference of Data-Driven Discourse Structures using a Tree Auto-Encoder” and “Large Discourse Treebanks from Scalable Distant Supervision” |
| Nov 18, 2020 |
Conference Presentation
EMNLP, Online Presented my paper “MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision” |
| Nov 11, 2019 |
Invited Talk
Microsoft Research Asia (MSRA), Beijing, China Introduction on discourse-parsing and the potentials of data-driven approaches to predict discourse from auxiliary tasks |
| Nov 8, 2019 |
Invited Talk
Huawei Headquarters, Shenzhen, China Presented my research on the predicting of discourse structures from sentiment using a distant supervision approach |
| Nov 6, 2019 |
Conference Presentation
EMNLP, Hong Kong Presented my paper “Predicting Discourse Structure using Distant Supervision from Sentiment” |