Ning Gao

About Me

I am a Data Scientist at the Microsoft Bot Framework team. Before joining Microsoft, I was a PhD student at School of Information Studies of University of Maryland, College Park. My advisor is Prof. Douglas W. Oard. My research interests include Natural Language Processing, Knowledge Base Population, and Information Extraction. My resume can be downloaded here.

Email: nigao@microsoft.com


Honors

  1. 2016 ~ 2017, iFellows Doctoral Fellowship, supported by The Andrew W. Mellon Foundation.
  2. 2012, Best Poster Award Runner-up on iSchool Doctoral Research Day, Information Studies, University of Maryland.
  3. 2011, Founder Scholarship, Peking University Founder Group Co.,Ltd ( Granted for best student in AI).
  4. 2010, Best Student Paper Award, Workshop of INitiative for the Evaluation of XML Retrieval (INEX).
  5. 2009 ~ 2012, College Scholarship, School of Electronic Engineering and Computer Science, Peking University.


Publications

  1. Ning Gao, Nikos Karampatziakis, Rahul Potharaju, and Silviu Cucerzan, “Active Entity Recognition in Low Resource Settings”, Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2019). [pdf]

  2. Ning Gao, Mark Dredze, Douglas Oard, “Enhancing Scientific Collaboration Through Knowledge Base Population and Linking for Meetings”, Hawaii International Conference on System Sciences (HICSS 2018). [pdf]
    Associated Material: Meeting KB & Meeting Linking Annotation

  3. Ning Gao, Gregory Sell, Douglas Oard, Mark Dredze, “Leveraging Side Information for Speaker Identification with the Enron Conversational Telephone Speech Collection”, IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2017). [pdf]
    Associated Material: Ground truth speakers & Manual Channels

  4. Ning Gao, Douglas W. Oard, and Mark Dredze, “Support for Interactive Identification of Mentioned Entities in Conversational Speech”, in Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017).[pdf]
    Associated Material: Linking Annotations & Person KB & Organization KB

  5. Ning Gao, and Silviu Cucerzan, “Entity Linking to One Thousand Knowledge Bases”, in Proceedings of the 39th European Conference on Information Retrieval (ECIR 2017). [pdf]
    Associated Material: Wikia Trigger Annotations for News Articles

  6. Ning Gao, Mark Dredze and Douglas W. Oard, “Knowledge Base Population for Organization Mentions in Email”, in 5th Workshop on Automated Knowledge Base Construction, 2016. [pdf]
    Associated Material: Organization Knowledge Base & Entity Linking Annotations

  7. Ning Gao, Mossaab Bagdouri and Douglas W. Oard, “Pearson Rank: A Head-Weighted Gap-Sensitive Score-Based Correlation Coefficient,” in 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, Pisa, Italy, 2016.[pdf]

  8. Tim Finin, Dawn Lawrie, Paul McNamee, James Mayfield, Douglas Oard, Nanyun Peng, Ning Gao, Yiu-Chang Lin, Josh MacLin and Tim Dowd. “HLTCOE Participation in TAC KBK 2015: Cold Start and TEDL”. Proceedings of the Text Analysis Conference (TAC 2015), 14 pages. [PDF]

  9. Ning Gao, Douglas W. Oard. “A Head-Weighted Gap-Sensitive Correlation Coefficient”. Proceedings of the 38th international ACM SIGIR conference on Research & development in information retrieval (SIGIR 2015): pp. 799-802. [PDF](SIGIR Travel Grant)

  10. Ning Gao, Douglas W. Oard, Mark Dredze (2014). “A Test Collection for Email Entity Linking”. NIPS Workshop on Automated Knowledge Base Construction (AKBC 2014), 5 pages. [PDF]
    Associated Material: Test Collection

  11. Ning Gao, William Webber, Douglas W. Oard (2014). “Reducing Reliance on Relevance Judgments for System Comparison by Using Expectation-Maximization”. Proc. the 36th European Conference on Information Retrieval (ECIR 2014): pp. 1-12. [PDF]
    Associated Material:Convergence Proof
    (Jacob K. Goldhaber Travel Grant)
    (International Conference Student Support Award)

  12. Jia-Jian Jiang, Zhi-Hong Deng, Ning Gao, Sheng-Long Lv (2012): “Guess what i want: inferring the semantics of keyword queries using evidence theory”. In Web Technologies and Applications, pp. 388-398. [PDF]

  13. Nicholas J. Belkin, Charles L. A. Clarke, Ning Gao, Jaap Kamps, Jussi Karlgren: Report on the SIGIR workshop on “entertain me”: supporting complex search tasks. SIGIR Forum 45(2): 51-59 (2011). [PDF]

  14. Sheng-Long Lv, Zhi-Hong Deng, Hang Yu, Ning Gao, Jia-Jian Jiang: “Fully Utilize Feedbacks: Language Model Based Relevance Feedback in Information Retrieval”. In ADMA 2011: pp. 395-405. [PDF]

  15. Ning Gao, Zhi-Hong Deng, Hang Yu, Jia-Jian Jiang: “ListOPT: Learning to Optimize for XML Ranking”. In PAKDD 2011: pp. 482-492. [PDF]

  16. Ning Gao, Zhi-Hong Deng, Jia-Jian Jiang, Sheng-Long Lv, Hang Yu: “Combining strategies for XML retrieval.” In INEX 2010: pp. 319-331. [PDF]
    (INEX 2010 Best Student Paper Award)

  17. Yong-Qing Xiang, Zhi-Hong Deng, Hang Yu, Sijing Wang, Ning Gao: “A new indexing strategy for XML keyword search”. In FSKD 2010: pp. 2412-2416. [PDF]

  18. Hang Yu, Zhi-Hong Deng, Yong-Qing Xiang, Ning Gao, Ming Zhang, Shiwei Tang: “Adaptive Top-k Algorithm in SLCA-Based XML Keyword Search”. In APWeb 2010: pp. 364-366. [PDF]

  19. Ning Gao, Zhi-Hong Deng, Yong-Qing Xiang, Hang Yu, “ListBM: a learning-to-rank method for XML keyword search.” In INEX 2009, pp. 81-87. [PDF]

  20. Ning Gao, Mark Dredze, and Douglas W. Oard. “Person Entity Linking in Email with NIL Detection.” Journal of the Association for Information Science and Technology (2017).

  21. Ning Gao, ZhiHong Deng, and ShengLong Lv. “XDist: an effective XML keyword search system with re-ranking model based on keyword distribution.” Science China Information Sciences 57.5 (2014): 1-17. [PDF]

  22. Zhi-Hong Deng, Yong-Qing Xiang, Ning Gao (2013): “LAF: a new XML encoding and indexing strategy for keyword-based XML search”. Concurrency and Computation: Practice and Experience 25(11): pp. 1604-1621. [PDF]

  23. Hang Yu, Zhi-Hong Deng, Ning Gao (2012): “Efficient top-k algorithm for eXtensible Markup Language keyword search”. IET Software 6(4): pp. 342-349. [PDF]

  24. Ning Gao, Zhi-Hong Deng, Jia-Jian Jiang, Hang Yu (2012): “MAXLCA: A New Query Semantic Model for XML Keyword Search”. J. Web Eng. 11(2): pp. 131-145. [PDF]

  25. Zhi-Hong Deng, Ning Gao, Xiaoran Xu: “Mop: An Efficient Algorithm for Mining Frequent Pattern with Subtree Traversing”. Fundam. Inform. 111(4): 373-390 (2011).

Last modified 11/22/2019