Context Dependent Semantic Parsing: A Survey
The collection of research resources for the context-dependent semanitc parsing.
Posts by Collection
portfolio
publications
Unsupervised Pre-training With Seq2Seq Reconstruction Loss for Deep Relation Extraction Models
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/
Context Dependent Semantic Parsing: A Survey
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
Few-Shot Semantic Parsing for New Predicates
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
talks
Introduction to Transfer Learning
Published:
I introduced the basic concepts and progress of transfer learning to my colleagues at ASTRI. [Slides]
Context Dependent Semantic Parsing: A Survey
Published:
This is a presentation to introduce our work, [Context Dependent Semantic Parsing: A Survey]. [Slides]
Semantic Parsing for Dialogue
Published:
This is a presentation to introduce our progress in the last year. [Slides]
teaching
Tutor of FIT5125, IT research methods
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.