Juntao Yu
Post-Doctoral Researcher in Natural Language Processing
School of Electronic Engineering and Computer Science
Queen Mary University of London
London E1 4FZ
Office: CS413
Email: juntao.yu AT qmul.ac.uk

I am a post-doctoral researcher at the Queen Mary University of London, working with Professor Massimo Poesio on his five-year DALI project (Disagreements and Language Interpretation, ERC-2015-AdG). Before that, I was a PhD student at the University of Birmingham, working on out-of-domain dependency parsing. I am supervised by Dr Bernd Bohnet, Professor John Barnden and Dr Mark Lee. I received my Master degree from the University of Glasgow in 2013. Before that, I worked at Digital China (Shanghai) Ltd. as a software engineer after I received my undergraduate degree in 2009 from Donghua University (Shanghai, China).

My research interests include anaphora resolution, dependency parsing, deep learning, domain adaptation, semi-supervised methods, unsupervised methods and language model.

My wife recently opened an Etsy shop , selling handmade items

My Google Scholar page.

The latest version of my CV.


Semi-Supervised Methods for Out-of-Domain Dependency Parsing
University of Birmingham, November 2017.
Supervisors: Bernd Bohnet, John Barnden and Mark Lee
Examiners: Kim Gerdes (external), Peter Tino


A Probabilistic Annotation Model for Crowdsourcing Coreference
Silviu Paun, Jon Chamberlain, Udo Kruschwitz, Juntao Yu, Massimo Poesio
In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018

Anaphora Resolution with the ARRAU Corpus
Massimo Poesio, Yulia Grishina, Varada Kolhatkar, Nafise Moosavi, Ina Roesiger, Adam Roussel, Fabian Simonjetz, Alexandra Uma, Olga Uryupina, Juntao Yu, Heike Zinsmeister
In Proceedings of the First Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC),2018
[pdf] [bib]

Dependency Language Models for Transition-based Dependency Parsing
Juntao Yu and Bernd Bohnet
In Proceeding of the 15th International Conference on Parsing Technologies (IWPT), 2017
[pdf] [bib]

Exploring Confidence-based Self-training for Multilingual Dependency Parsing in an Under-Resourced Language Scenario
Juntao Yu and Bernd Bohnet
In Proceeding of the Third International Conference on Dependency Linguistics (Depling),2015
[pdf] [bib]

Domain Adaptation for Dependency Parsing via Self-training
Juntao Yu, Mohab Elkaref, and Bernd Bohnet
In Proceeding of the 14th International Conference on Parsing Technologies (IWPT),2015
[pdf] [bib]

Exploring Options for Fast Domain Adaptation of Dependency Parsers
Viktor Pekar, Juntao Yu, Mohab Elkaref, and Bernd Bohnet
In Proceedings of the First Joint Workshop on Statistical Parsing of Morphologically Rich Languages and Syntactic Analysis of Non-Canonical Languages (SPMRL-SANCL),2014
[pdf] [bib]

Last Update: October 2018