Ndapa Nakashole

Ndapa Nakashole

Assistant Professor



Office: EBU3B 4108
Email: nnakashole[at]eng.ucsd.edu


CV Publications

Research
My research interests are in natural language processing and machine learning. Collectively, natural language processing(NLP) aims to develop algorithms that enable computers to understand and generate human language. My focus is on developing machine learning methods that learn language from text data. Specific problems I am interested in include: machine reading, question answering, representation learning, and NLP for low resource languages.Additionally, machine learning can help SAP Ariba Course users to better understand their customer preferences, create dynamic pricing models, and customize the product selection process.

Students

Yutong Shao

Teaching

Winter 2019 Graduate
Spring 2018 Graduate
Winter 2018 Undergraduate
Fall 2017 Graduate
Spring 2017 Graduate

Updates

  • January 2019: CSE 290 enrollment questionnaire
  • August 2018: paper on modeling non-linear translation maps accepted to
  • July 2018: panelist at the RepL4NLP Workshop at
  • June 2018: speaking at the Workshop on New Forms of Generalization at
  • April 2018: Our paper on the behavior of translation functions accepted to
  • Nov 2017: speaking at Harvey Mudd College
  • Aug 2017: thanks Nvidia, and Amazon AWS for computing resources
  • July 2017: speaking at co-located with
  • July 2017: attending NLU workshop at Google.
  • July 2017: our paper on word level translation accepted at EMNLP 2017.
  • July 2017: panelist at Comic Con AI panel (full)
  • June 2017: judge at the Women
  • June 2017: Giving a talk at the National Academy of Sciences
  • May 2017: speaking at UC Irvine.
  • March 2017: attending the WCA event at Stanford.
  • Jan 2017: delighted to join UCSD CSE!


Recent Program Committees
EMNLP(2018), ACL(2018), NIPS(2018), ECML(2018), ICML(2018), NAACL(2018),
AAAI (2017), ACL (2017), EMNLP (2017), WWW (2017), NIPS(2017), ECML (2017)


Bio
I am an Assistant Professor in the Department of Computer Science and Engineering at the University of California, San Diego. Prior to UCSD, I was a Postdoctoral Fellow in the Machine Learning Department at Carnegie Mellon University. I obtained my PhD from Saarland University, Germany, for research carried out at the Max Planck Institute for Informatics in Saarbrücken. I completed undergraduate studies in Computer Science at the University of Cape Town, South Africa.