Nina Dethlefs

Dr Nina Dethlefs

Lecturer

Faculty and Department

  • Faculty of Science and Engineering
  • School of Engineering and Computer Science

Summary

Dr Dethlefs' research interests lie in computational linguistics, particularly in computational language learning for interactive systems and natural language generation. She investigates machine learning models that can automatically extract linguistic patterns from data, and use these to understand and generate language in new contexts. Dr Dethlefs is a member of the Computational Science Research Group, and a member of the Digital Centre.

Undergraduate

Programming Paradigms Distributed Systems Programming Final Year Development Project

Conference Proceeding

Transparency of execution using epigenetic networks

Dethlefs, N., & Turner, A. (2017). Transparency of execution using epigenetic networks. In C. Knibbe, G. Beslon, D. Parsons, D. Misevic, J. Rouzaud-Cornabas, N. Bredeche, …H. Soula (Eds.), Proceedings of the ECAL 2017, 404-411. doi:10.7551/ecal_a_068

Journal Article

A natural language-based presentation of cognitive stimulation to people with dementia in assistive technology : a pilot study

Cuayahuitl, H., Dethlefs, N., Milders, M., Cuayáhuitl, H., Al-Salkini, T., & Douglas, L. (2017). A natural language-based presentation of cognitive stimulation to people with dementia in assistive technology : a pilot study. Informatics for Health and Social Care, 42(4), 349-360. https://doi.org/10.1080/17538157.2016.1255627

Domain transfer for deep natural language generation from abstract meaning representations

Dethlefs, N. (2017). Domain transfer for deep natural language generation from abstract meaning representations. IEEE computational intelligence magazine, 12(3), 18-28. https://doi.org/10.1109/mci.2017.2708558

Information density and overlap in spoken dialogue

Dethlefs, N., Hastie, H., Cuayáhuitl, H., Yu, Y., Rieser, V., & Lemon, O. (2016). Information density and overlap in spoken dialogue. Computer speech & language, 37, (82-97). doi:10.1016/j.csl.2015.11.001. ISSN 0885-2308

Hierarchical reinforcement learning for situated natural language generation

Dethlefs, N., & Cuayáhuitl, H. (2015). Hierarchical reinforcement learning for situated natural language generation. Natural language engineering, 21(3), 391-435. https://doi.org/10.1017/S1351324913000375