I'm a PhD student working on the A Unified Model of Compositional and Distributional Semantics: Theory and Applications project under Steve Clark. I did an undergraduate degree at Utrecht University with a double major in Cognitive Artificial Intelligence and Philosophy. After that I went on to get a master's degree in Logic from the University of Amsterdam's Institute for Logic, Language & Computation, with brief stints as a visiting researcher at Stanford's CSLI and NYU's Philosophy and Linguistics departments. Before I started the PhD, I completed the MPhil in Advanced Computer Science here in Cambridge. See my LinkedIn profile for industry-related experience. I am currently at Microsoft Research, New York City.
How do I pronounce your name?
In Dutch, "ou" is pronounced like in loud and "we" like in were, but you can simply call me Dow if that's easier.
- Learning Image Embeddings using Convolutional Neural Networks for Improved Multi-Modal Semantics
D. Kiela and L. Bottou
Proceedings of EMNLP 2014, Qatar.
- Improving Multi-Modal Representations Using Image Dispersion: Why Less is Sometimes More
D. Kiela*, F. Hill*, A. Korhonen and S. Clark
Proceedings of ACL 2014, Baltimore, MA.
[pdf] [bib] [data]
- A Systematic Study of Semantic Vector Space Model Parameters
D. Kiela and S. Clark
Proceedings of EACL 2014, Second Workshop on Continuous Vector Space Models and their Compositionality (CVSC), Gothenburg, Sweden.
- Zipf's law across languages of the world: Towards a quantitative measure of lexical diversity
C. Bentz and D. Kiela
Proceedings of the 10th International Conference on the Evolution of Language (EvoLang-10), Vienna, Austria.
- Zipf's law and the grammar of languages: A quantitative study of Old and Modern English parallel texts
C. Bentz, D. Kiela, F. Hill and P. Buttery
Corpus Linguistics and Linguistic Theory, Volume 10, Issue 1. Berlin: de Gruyter
- Detecting Compositionality of Multi-Word Expressions using Nearest Neighbours in Vector Space Models
D. Kiela and S. Clark
Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-13), Seattle, WA
- Concreteness and corpora: A theoretical and practical analysis.
F. Hill, D. Kiela and A. Korhonen
Proceedings of ACL 2013, Workshop on Cognitive Modelling and Computational Linguistics, Sofia, Bulgaria (Best student paper award)
- UCAM-CORE: Incorporating structured distributional similarity into STS.
T. Polajnar, L. Rimell and D. Kiela
Proceedings of *SEM 2013 (shared task), Atlanta, Georgia.
University of Cambridge Computer Laboratory
William Gates Building, 15 JJ Thomson Avenue
Cambridge CB3 0FD, UK
+44 (0)1223 763612