People

Dr Juntao Yu

Lecturer
School of Computer Science and Electronic Engineering (CSEE)
Dr Juntao Yu
  • Email

  • Location

    Colchester Campus

  • Academic support hours

    My support hour is 2 - 4 pm on Monday via Zoom. For the meeting link please check the course Moodle page.

Profile

Biography

I am a Lecturer at the University of Essex. Before that, I was 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). I did my PhD at the University of Birmingham, working on out-of-domain dependency parsing. I was supervised by Dr Bernd Bohnet, Professor John Barnden and Dr Mark Lee. My research interests include Deep Learning for NLP, Information Extraction, Coreference Resolution, Conversational AI, Dependency Parsing, Domain Adaptation, Semi-supervised Learning, and Multi-task Learning.

Qualifications

  • PhD Computer Science University of Birmingham, (2017)

Appointments

University of Essex

  • Lecturer in Natural Language Processing, School of Computer Science and Electronic Engineering, University of Essex (2021 - present)

Other academic

  • Postdoctoral Researcher, School of Electronic Engineering and Computer Science, Queen Mary University of London (2017 - 2021)

Research and professional activities

Research interests

Deep Learning for NLP

Open to supervise

Information Extraction

Open to supervise

Coreference Resolution

Open to supervise

Conversational AI

Open to supervise

Low Resource Learning

Open to supervise

Teaching and supervision

Current teaching responsibilities

  • Team Project Challenge (CE201)

  • Information Retrieval (CE306)

  • Information Retrieval (CE706)

  • Mathematics for Computing (CE141)

Publications

Journal articles (1)

Poesio, M., Yu, J., Paun, S., Aloraini, A., Lu, P., Haber, J. and Cokal, D., (2023). Computational Models of Anaphora. Annual Review of Linguistics. 9 (1)

Conferences (19)

Yu, J., Khosla, S., Moosavi, NS., Paun, S., Pradhan, S. and Poesio, M., (2022). The Universal Anaphora Scorer

Yu, J., Khosla, S., Manuvinakurike, R., Levin, L., Ng, V., Poesio, M., Strube, M. and Rosé, C., (2022). The CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue

Yu, J., Moosavi, NS., Paun, S. and Poesio, M., (2021). Stay Together: A System for Single and Split-antecedent Anaphora Resolution

Khosla, S., Yu, J., Manuvinakurike, R., Ng, V., Poesio, M., Strube, M. and Rosé, C., (2021). The CODI-CRAC 2021 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue

Yu, J., Bohnet, B. and Poesio, M., (2020). Neural Mention Detection.

Yu, J., Bohnet, B. and Poesio, M., (2020). Named Entity Recognition as Dependency Parsing.

Yu, J. and Poesio, M., (2020). Multitask Learning-Based Neural Bridging Reference Resolution.

Yu, J., Moosavi, NS., Paun, S. and Poesio, M., (2020). Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution.

Yu, J., Uma, A. and Poesio, M., (2020). A Cluster Ranking Model for Full Anaphora Resolution.

Aloraini, A., Yu, J. and Poesio, M., (2020). Neural Coreference Resolution for Arabic

Madge, C., Yu, J., Chamberlain, J., Kruschwitz, U., Paun, S. and Poesio, M., (2019). Crowdsourcing and Aggregating Nested Markable Annotations

Poesio, M., Chamberlain, J., Paun, S., Yu, J., Uma, A. and Kruschwitz, U., (2019). A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation

Madge, C., Yu, J., Chamberlain, J., Kruschwitz, U., Paun, S. and Poesio, M., (2019). Progression in a Language Annotation Game with a Purpose

Paun, S., Chamberlain, J., Kruschwitz, U., Yu, J. and Poesio, M., (2018). A Probabilistic Annotation Model for Crowdsourcing Coreference

Poesio, M., Grishina, Y., Kolhatkar, V., Moosavi, N., Roesiger, I., Roussel, A., Simonjetz, F., Uma, A., Uryupina, O., Yu, J. and Zinsmeister, H., (2018). Anaphora Resolution with the ARRAU Corpus

Yu, J. and Bohnet, B., (2017). Dependency Language Models for Transition-based Dependency Parsing

Yu, J., Elkaref, M. and Bohnet, B., (2015). Domain Adaptation for Dependency Parsing via Self-Training

Yu, J. and Bohnet, B., (2015). Exploring Confidence-based Self-training for Multilingual Dependency Parsing in an Under-Resourced Language Scenario

Pekar, V., Yu, J., El-karef, M. and Bohnet, B., (2014). Exploring Options for Fast Domain Adaptation of Dependency Parsers

Grants and funding

2022

Open Medical KTP Application

Innovate UK (formerly Technology Strategy Board)

Contact

j.yu@essex.ac.uk

Location:

Colchester Campus

Academic support hours:

My support hour is 2 - 4 pm on Monday via Zoom. For the meeting link please check the course Moodle page.