World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
18555
World Ranking
1787
National Ranking
32

Research.com Recognitions

  • 2010 - ACM Distinguished Member

Overview

Hwee Tou Ng is affiliated with the National University of Singapore in Singapore. Their research is primarily situated in the field of Computer Science, with a concentration on Artificial Intelligence. The research subfields they have contributed to include Computer Vision and Pattern Recognition, Information Systems, Software, and Radiology, Nuclear Medicine and Imaging.

The topics addressed in their work cover a range of areas within natural language processing and machine learning. These main topics include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Text Readability and Simplification
  • Speech and dialogue systems
  • Advanced Text Analysis Techniques
  • Multimodal Machine Learning Applications
  • Software Testing and Debugging Techniques

Their frequent co-authors reflect collaboration with several researchers over multiple projects. Key collaborators include:

  • Lidong Bing
  • Qingyu Tan
  • Hai Ye
  • Muhammad Reza Qorib
  • Ruidan He

Hwee Tou Ng has published extensively, with a significant number of papers appearing in venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, and Computational Linguistics. Notable recent papers include:

  • The CoNLL-2013 Shared Task on Grammatical Error Correction (2025), arXiv (Cornell University)
  • Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation (2022), Findings of the Association for Computational Linguistics: ACL 2022
  • Grammatical Error Correction: A Survey of the State of the Art (2023), Computational Linguistics
  • Inferring cancer disease response from radiology reports using large language models with data augmentation and prompting (2023), Journal of the American Medical Informatics Association
  • Frustratingly Easy System Combination for Grammatical Error Correction (2022), Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Among their scholarly achievements, Hwee Tou Ng was recognized as an ACM Distinguished Member in 2010.

Best Publications

  • A machine learning approach to coreference resolution of noun phrases

    Wee Meng Soon;Hwee Tou Ng;Daniel Chung Yong Lim

  • Feature selection, perceptron learning, and a usability case study for text categorization

    Hwee Tou Ng;Wei Boon Goh;Kok Leong Low

  • Integrating Multiple Knowledge Sources to Disambiguate Word Sense: An Exemplar-Based Approach

    Hwee Tou Ng;Hian Beng Lee

  • The CoNLL-2014 Shared Task on Grammatical Error Correction

    Hwee Tou Ng;Siew Mei Wu;Ted Briscoe;Christian Hadiwinoto

  • Named entity recognition: a maximum entropy approach using global information

    Hai Leong Chieu;Hwee Tou Ng

  • A Neural Approach to Automated Essay Scoring

    Kaveh Taghipour;Hwee Tou Ng

  • An Unsupervised Neural Attention Model for Aspect Extraction.

    Ruidan He;Wee Sun Lee;Hwee Tou Ng;Daniel Dahlmeier

  • It Makes Sense: A Wide-Coverage Word Sense Disambiguation System for Free Text

    Zhi Zhong;Hwee Tou Ng

  • Word Sense Disambiguation Improves Statistical Machine Translation

    Yee Seng Chan;Hwee Tou Ng;David Chiang

  • An Empirical Evaluation of Knowledge Sources and Learning Algorithms for Word Sense Disambiguation

    Yoong Keok Lee;Hwee Tou Ng

  • Towards Robust Linguistic Analysis using OntoNotes

    Sameer Pradhan;Sameer Pradhan;Alessandro Moschitti;Alessandro Moschitti;Nianwen Xue;Hwee Tou Ng

  • A PDTB-Styled End-to-End Discourse Parser

    Ziheng Lin;Hwee Tou Ng;Min-Yen Kan

  • Recognizing Implicit Discourse Relations in the Penn Discourse Treebank

    Ziheng Lin;Min-Yen Kan;Hwee Tou Ng

  • Building a Large Annotated Corpus of Learner English: The NUS Corpus of Learner English

    Daniel Dahlmeier;Hwee Tou Ng;Siew Mei Wu

  • Named entity recognition with a maximum entropy approach

    Hai Leong Chieu;Hwee Tou Ng

  • Better Evaluation for Grammatical Error Correction

    Daniel Dahlmeier;Hwee Tou Ng

  • An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis

    Ruidan He;Wee Sun Lee;Hwee Tou Ng;Daniel Dahlmeier

  • A maximum entropy approach to information extraction from semi-structured and free text

    Hai Leong Chieu;Hwee Tou Ng

  • Mining topic-specific concepts and definitions on the web

    Bing Liu;Chee Wee Chin;Hwee Tou Ng

  • Chinese Part-of-Speech Tagging: One-at-a-Time or All-at-Once? Word-Based or Character-Based?

    Hwee Tou Ng;Jin Kiat Low

  • The CoNLL-2013 Shared Task on Grammatical Error Correction

    Hwee Tou Ng;Siew Mei Wu;Yuanbin Wu;Christian Hadiwinoto

  • Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing

    Mirella Lapata;Hwee Tou Ng

Frequent Co-Authors

Wee Sun Lee
Wee Sun Lee National University of Singapore
Preslav Nakov
Preslav Nakov Mohamed bin Zayed University of Artificial Intelligence
Min-Yen Kan
Min-Yen Kan National University of Singapore
Raymond J. Mooney
Raymond J. Mooney The University of Texas at Austin
Haizhou Li
Haizhou Li Chinese University of Hong Kong, Shenzhen
Mirella Lapata
Mirella Lapata University of Edinburgh
Ted Briscoe
Ted Briscoe Mohamed bin Zayed University of Artificial Intelligence
Guodong Zhou
Guodong Zhou Soochow University
Nianwen Xue
Nianwen Xue Brandeis University
Sameer Pradhan
Sameer Pradhan Vassar College

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