Burcu Can

  (English pronunciation: /Buɾdʒu Dʒan/ or /Burju Jan/)

   Reader in Computational Linguistics
   Research Group in Computational Linguistics
   Research Institute of Information and Language Processing
   University of Wolverhampton

   Official Webpage

   email: b.can at wlv dot ac dot uk

 


Short biography

I am a Reader in Computational Linguistics (an intermediate position between associate professor and professor) at RGCL, University of Wolverhampton. I received my PhD at the Department of Computer Science, University of York as a member of the Artificial Intelligence group and under the supervision of Suresh Manandhar) in 2011. I was an assistant professor at Hacettepe University between 2015-2020 before moving to University of Wolverhampton. I was also a visiting researcher in 2014 at the University of York, and in 2019 a visiting researcher at the Institute of Statistical Mathematics at Tokyo.

Research interests

I work on problems related to Natural Language Processing with the application of unsupervised learning techniques. These include statistical methods such as nonparametric Bayesian learning. In particular, I am interested in morphology, syntax, and semantics. I am also interested in deep learning techniques applied to language in order to learn representations of agglutinative languages.

Latest News

Recent Professional Activities

  • The 7th Workshop on Representation Learning for NLP (Repl4NLP) at ACL 2022 - organising committee
  • Journal of Natural Language Engineering (JNLE) (Associate Editor)
  • Associate Editor on ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)
  • Turkish Journal of Electrical Engineering & Computer Sciences (editorial board)
  • Full list of professional activities here.

    Supervision

    If you are interested in working with me as a MSc or PhD student and if you think that your interests match mine, please feel free to contact me.

    Full list of supervised dissertations.

    Teaching

    I am teaching Machine Learning for NLP in the Spring term 2022.

    Full list of past lectures.

    Selected publications

  • Joint learning of morphology and syntax with cross-level contextual information flow.
    Burcu Can, Hüseyin Aleçakır, Suresh Manandhar, Cem Bozşahin.
    The Journal of Natural Language Engineering, Cambridge University Press. (in press)
  • Self Attended Stack Pointer Networks for Learning Long Term Dependencies.
    Salih Tuç, Burcu Can.
    The 17th International Conference on Natural Language Processing (ICON 2020). 2020.
  • Characters or Morphemes: How to Represent Words?
    Ahmet Üstün, Murathan Kurfalı, and Burcu Can.
    3rd Workshop on Representation Learning for NLP (RepL4NLP), ACL 2018, Melbourne, Australia. (Best Paper Award)
    [pdf | code, data]
  • Full list of publications here.

    Last modified: 5th December 2021