Better Summarization Evaluation with Word Embeddings For ROUGE, Jun-Ping Ng, Viktoria Abrecht. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pp 1925--1930.
[pdf] [code]Research
NLP, IE, QA, Summarization
I am drawn to Natural Language Processing (NLP) and its applications. I am interested in improving the way we access data, and have worked on applications such as question-answering (QA) and multi-document summarization. In my research I seek to build better semantic representations of free text with the aim of improving these NLP applications.
Temporal Processing
As part of work for my doctoral thesis, I worked on identifying and extracting temporal relationships within text. Being able to discern these relationships help improve our understanding of the semantics behind the text. In my thesis, I also leveraged on these relationships to improve text summarization.
Text Summarization
I have developed with my colleagues a state-of-the-art multi-document summarization system (SWING). SWING participated in the summarization track of the Text Analysis Conference (TAC) 2011 and was the best performing system measured with the automatic ROUGE metric.
Question-Answering
In earlier work, I have developed an open-source QA system -- QANUS. QANUS is developed to serve as a framework to support rapid prototyping of QA systems, and serve as a foundation on which complete QA systems can be built. Eventually the aim is to grow it into a credible benchmark for QA systems.
Conferences
2015
2014
Exploiting Timelines to Enhance Multi-document Summarization, Jun-Ping Ng, Yan Chen, Min-Yen Kan, Zhoujun Li. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), pp 923--933.
[pdf] [slides] [recording]
2013
Exploiting Discourse Analysis for Article-Wide Temporal Classification, Jun-Ping Ng, Min-Yen Kan, Ziheng Lin, Wei Feng, Bin Chen, Jian Su, Chew-Lim Tan. In Proceedings of the Conference on Empirical Methods in Natural Langugage Processing (EMNLP), pp 12-23.
[pdf] [slides]Mining Scientific Terms and their Definitions: A Study of the ACL Anthology, Yiping Jin, Min-Yen Kan, Jun-Ping Ng, Xiangnan He. In Proceedings of the Conference on Empirical Methods in Natural Langugage Processing (EMNLP), pp 780-790.
[pdf]
2012
Improved Temporal Relation Classification using Dependency Parses and Selective Crowdsourced Annotations, Jun-Ping Ng, Min-Yen Kan. In Proceedings of the International Conference on Computational Linguistics (COLING), pp 2109-2124.
[pdf] [pdf (a4)] [slides] [data]Exploiting Category-Specific Information for Multi-Document Summarization, Jun-Ping Ng, Praveen Bysani, Ziheng Lin, Min-Yen Kan, Chew-Lim Tan. In Proceedings of the International Conference on Computational Linguistics (COLING), pp 2093-2108.
[pdf] [pdf (a4)] [slides]
2011
SWING: Exploiting Category Specific Information for Guided Summarization, Jun-Ping Ng, Praveen Bysani, Ziheng Lin, Min-Yen Kan, Chew-Lim Tan. In Proceedings of the Text Analysis Conference (TAC).
[pdf]
2010
Extracting Formulaic and Free Text Clinical Research Articles Metadata using Conditional Random Fields, Sein Lin, Jun-Ping Ng, Shreyasee Pradhan, Jatin Shah, Ricardo Pietrobon, Min-Yen Kan. In Proceedings of the NAACL HLT 2010 Second Louhi Workshop on Text and Data Mining of Health Documents, pp 90-95.
[pdf]
Earlier
Dynamic Markov Compression Using a Crossbar-like Tree Initial Structure for Chinese Texts, Ghim-Hwee Ong, Jun-Ping Ng. In Proceedings of the International Conference on Information Technology and Applications (ICITA), pp 407-410.
[pdf]Exploring the Initial Structures of Dynamic Markov Modeling for Chinese Text Compression, Ghim-Hwee Ong, Jun-Ping Ng. In Proceedings of the International Symposium on Distributed Computing and Applications to Business, Engineering and Sciences, pp 460-463.
Journals
Search Engine Reinforced Semi-supervised Classification and Graph-based Summarization of Microblogs, Yan Chen, Xiaoming Zhang, Zhoujun Li, Jun-Ping Ng. Neurocomputing, Volume 152, pp 274-286.
[details]Academic Reports
Interpreting Time In Text, Summarizing Text With Time, Jun-Ping Ng. PhD Thesis, National University of Singapore.
[pdf]QANUS: An Open-source Question-Answering Platform, Jun-Ping Ng and Min-Yen Kan. Technical Report
[pdf] [Site]Processing Sentiments and Opinions in Text, Jun-Ping Ng. Survey paper done as part of course work, National University of Singapore.
[pdf]Enhancing Honeypot Stealthiness, Jun-Ping Ng. Master Thesis, National University of Singapore.
[pdf]Dynamic Markov Modeling and Compression for Chinese Textual Data, Jun-Ping Ng. Honours Year Project Report, National University of Singapore.
Posters and Misc.
Interpreting Time In Text, Summarizing Text With Time, Jun-Ping Ng. Research Presentation, Yahoo, New York.
Interpreting Time From Text, Summarizing Text With Time, Jun-Ping Ng. Invited Talk, DSO National Laboratories, Singapore.
Towards Timeline Construction: Temporal Relations Between Events, Jun-Ping Ng, Min-Yen Kan, Ziheng Lin. Poster presentation, 6th NExT Workshop, Singapore.
[poster]Professional
Reviewer
I do occassional reviews for ACM Computing Reviews. I also serve frequently on the program committes of several NLP conferences.
ACM Computing Reviews 
Featured reviewer, August 2015.
ACL
EMNLP
NAACL
SIGIR
COLING
IJCNLP
Teaching Assistant
National University of Singapore
2009 to 2013
During my PhD candidature, I taught several courses in areas which I am interested and familiar with. These include Operating Systems, Computer Security, and Artificial Intelligence.
Adjunct Lecturer
Nanyang Polytechnic
2009 to 2011
I was an adjunct lecturer at the Nanyang Polytechnic, taking classes on Operating Systems and Computer Security.
Anna University, Chennai.
2011-2013, 1st Class with 78%
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