Min-Yen Kan (BS;MS;PhD Columbia Univ.; SACM, SIEEE) is an associate professor at the National University of Singapore. He serves the School of Computing as an Assistant Dean of Undergraduate Studies; and the University as a Deputy Director (Research) in the NUS Institute of the Application of Learning Sciences and Education Technology (ALSET). Min is an active member of the Association of Computational Linguistics (ACL), and was a previous executive board member (2012-2015) and has been maintaining the ACL Anthology, the community's largest archive of published research, since 2008. He is an associate editor for the Springer "Information Retrieval" journal. His research interests include digital libraries and applied natural language processing and information retrieval. He is recognized as a distinguished speaker by the ACM for natural language processing and digital libraries research. Specific projects include work in the areas of scientific discourse analysis, full-text literature mining, machine translation, lexical semantics and applied text summarization. http://wing.comp.nus.edu.sg/
He is a senior member of the ACM since 2011 and a senior member of the IEEE since 2016. He joined the ACM Distinguished Speakers Programme in 2018.
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Keywords, phrases, clauses and sentences: Topicality, indicativeness and informativeness at scales
Keyphrase extraction and generation are maturing NLP tasks that have grown in importance as the amount of digitally-born authored work grows. How are systems doing today and how can they...
Research Fast and Slow
Research has benefitted from the current age of accelerations, as evidenced from the increase in the publishing rate and volume of new scholarly work. We first characterise this research...
Serving the Readers of Scholarly Documents: A Grand Challenge for the Introspective Digital Library
The scholarly literature produced by human civilization will soon be considered small data, able to be portably conveyed by the network and carried on personal machines. This...
- Technology vs Learner Engagement: Always a Trade Off?Does have more learners necessarily mean less engagement? Hear the perspectives of experts from research and practice on what technologies can be used to up your engagement with learners and...
- Towards Integration of Text Mining in the Digital LibraryText Mining is a maturing as a feasible area to mine information from scholarly texts. These mechanisms can now be run on our own scholarly output to better enable keywords, topic...
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- Technology vs Learner Engagement: Always a Trade Off?