Page Not Found
Page not found. Your pixels are in another canvas.
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Page not found. Your pixels are in another canvas.
About Zhuang Li
This is a page not in th emain menu
Published:
This post introduces our work, [Context Dependent Semantic Parsing: A Survey], in Chinese. [Post Link in Zhihu]
Published:
This is a post in Chinese introducing the work, [Abstract Syntax Networks for Code Generation and Semantic Parsing]. [Post Link in Zhihu]
The collection of research resources for the context-dependent semanitc parsing.
Published in ALTA, 2016
This paper is about using the pre-training technique to improve the relation extraction performance.
Recommended citation: Li, Z., Qu, L., Xu, Q., & Johnson, M. Unsupervised Pre-training with Sequence Reconstruction Loss for Deep Relation Extraction Models. Workshop of The Australasian Language Technology Association. https://www.aclweb.org/anthology/U16-1006/
Published in COLING, 2020
This paper is a survey about the context dependent semantic parsing.
Recommended citation: Li, Z., Qu, L., & Haffari, G. (December 8th, 2020). Context Dependent Semantic Parsing: A Survey. The 28th International Conference on Computational Linguistics https://arxiv.org/abs/2011.00797
Published in EACL, 2021
This paper is about the few-shot semantic parsing.
Recommended citation: Li, Z., Qu, L., Huang, S., & Haffari, G. Few-shot Learning for Semantic Parsing. 16th conference of the European Chapter of the Association for Computational Linguistics https://arxiv.org/abs/2101.10708
Published:
I introduced the basic concepts and progress of transfer learning to my colleagues at ASTRI. [Slides]
Published:
This is a presentation to introduce our work, [Context Dependent Semantic Parsing: A Survey]. [Slides]
Published:
This is a presentation to introduce our progress in the last year. [Slides]
Postgraduate course, Monash University, Faculty of IT, 2020
I was a tutor of the FIT5125, IT research methods. The aim of the unit is to prepare Masters students to conduct research across the range of IT sub-disciplines. I was running a workshop with 17 interesting and friendly students. And I earned an average rating, 4.11/5, from the students.