Jey Han Lau

Automating Quality Assessment of Medical Evidence in Systematic Reviews: Model Development and Validation Study.

Simon Šuster, Timothy Baldwin, Jey Han Lau, Antonio Jimeno Yepes, David Martinez Iraola, Yulia Otmakhova, Karin Verspoor

Journal article  |  2023  |  J Med Internet Res

BACKGROUND: Assessment of the quality of medical evidence available on the web is a critical step in the preparation of systematic..

DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks

L Tian, X Zhang, JH Lau

Conference Proceedings  |  2022  |  NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference

Cross-linguistic comparison of linguistic feature encoding in BERT models for typologically different languages

Y Otmakhova, K Verspoor, JH Lau

Conference Proceedings  |  2022  |  SIGTYP 2022 - 4th Workshop on Computational Typology and Multilingual NLP, Proceedings of the Workshop

Though recently there have been an increased interest in how pre-trained language models encode different linguistic features, the..

The patient is more dead than alive: exploring the current state of the multi-document summarization of the biomedical literature

Yulia Otmakhova, Karin Verspoor, Timothy Baldwin, Jey Han Lau

Conference Proceedings  |  2022  |  PROCEEDINGS OF THE 60TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022), VOL 1: (LONG PAPERS)

Although multi-document summarization (MDS) of the biomedical literature is a highly valuable task that has recently attracted sub..

One Country, 700 Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia

AF Aji, GI Winata, F Koto, S Cahyawijaya, A Romadhony, R Mahendra, K Kurniawan, D Moeljadi, RE Prasojo, T Baldwin, JH Lau, S Ruder

Conference Proceedings  |  2022  |  Proceedings of the Annual Meeting of the Association for Computational Linguistics

NLP research is impeded by a lack of resources and awareness of the challenges presented by underrepresented languages and dialect..

M3: Multi-level dataset for Multi-document summarization of Medical studies

Y Otmakhova, K Verspoor, T Baldwin, AJ Yepes, JH Lau

Conference Proceedings  |  2022  |  Findings of the Association for Computational Linguistics: EMNLP 2022

Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering

S Yang, X Huang, JH Lau, S Erfani

Conference Proceedings  |  2022  |  Findings of the Association for Computational Linguistics: EMNLP 2022

FFCI: A Framework for Interpretable Automatic Evaluation of Summarization

Fajri Koto, Timothy Baldwin, Jey Han Lau

Journal article  |  2022  |  JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

In this paper, we propose FFCI, a framework for fine-grained summarization evaluation that comprises four elements: faithfulness (..

An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation

S Yang, R Zhang, S Erfani, JH Lau

Conference Proceedings  |  2022  |  Proceedings of the Annual Meeting of the Association for Computational Linguistics

We study the interpretability issue of task-oriented dialogue systems in this paper. Previously, most neural-based task-oriented d..

Open Domain Response Generation Guided by Retrieved Conversations

C Shu, Z Zhang, Y Chen, J Xiao, JH Lau, Q Zhang, Z Lu

Journal article  |  2022  |  IEEE Access

Open domain response generation is the task of creating a response given a user query in any topics/domain. Limited by context and..