A/P Hwee Tou Ng
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Short Bio
Dr Hwee Tou NG is an Associate Professor of Computer Science at the National University of Singapore (NUS), a Senior Faculty Member at the NUS Graduate School for Integrative Sciences and Engineering, and Director of the Language Mediation Laboratory at the Interactive and Digital Media Institute, NUS. He received a PhD in Computer Science from the University of Texas at Austin, USA. His research focuses on natural language processing and information retrieval. He is an ACM Distinguished Scientist.
He has published papers in premier journals and conferences, including Computational Linguistics, ACM Transactions on Information Systems, ACL, EMNLP, SIGIR, AAAI, and IJCAI. His papers received the Best Paper Award at EMNLP 2011 and SIGIR 1997. He is the Editor-in-Chief of ACM Transactions on Asian Language Information Processing (TALIP), and an editorial board member of Natural Language Engineering.
He has also served as an editorial board member of Computational Linguistics journal (2004 − 2006) and Journal of Artificial Intelligence Research (JAIR) (Sep 2008 − Aug 2011). He was an elected member of the ACL executive committee (2008 − 2010) and a steering committee member and former secretary of ACL SIGNLL. He was program co-chair of EMNLP 2008, ACL 2005, and CoNLL 2004 conferences, and has served as area chair of ACL, EMNLP, and SIGIR conferences and as session chair and program committee member of many past conferences including ACL, EMNLP, SIGIR, AAAI, and IJCAI.
Project Description
I worked in the area of natural language processing (NLP), which is an enabling technology for text analytics. NLP is used to process unstructured texts in different human languages to derive the knowledge necessary for business decisions, that is, "from words to knowledge". A significant portion of business related knowledge is present in the form of unstructured texts, in multiple human languages.
Specifically, the related research falls into several tracks:
(a) Semantic and discourse processing: Analyzing the meaning of words and sentences, and processing of multiple connected sentences in a text are the key foundational tasks in NLP. These are the fundamental building blocks that support text analytics. Some of the research carried out includes word sense disambiguation, semantic role labeling, coreference resolution, and discourse relation recognition.
(b) Machine translation and multilingual processing: Research on automatic machine translation aims to translate texts from one human language into another (including Chinese, English, Malay). This enables knowledge present in texts of different languages to be harvested and fused together.
(c) Applications: Text analytics applications include multilingual named entity mining, text classification, information extraction, and question answering.
Related publications are available at: http://www.comp.nus.edu.sg/~nght/publicat.htm
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