I started my Ph.D. at Queen Mary in October 2013. My supervisors are Dr.
Mehrnoosh Sadrzadeh and Dr. Matthew Purver.
As a computational linguist I'm mostly interested in compositional
distributional semantics and its application to dialog analysis. As a
computer scientist I'm interested in distributed systems, automated
testing and big data. Finally, as programmer I'm interested in
Python. Check my CV for more
The bibliography file and my Google Scholar page.
Dmitrijs Milajevs, Mehrnoosh Sadrzadeh, Matthew Purver
Robust Co-occurrence Quantification for Lexical Distributional Semantics.
In Proceedings of the ACL 2016 Student Research Workshop,
Dmitrijs Milajevs, Sascha Griffiths
A Proposal for Linguistic Similarity Datasets Based on Commonality Lists.
In Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP,
Dmitrijs Milajevs, Mehrnoosh Sadrzadeh, Thomas Roelleke
IR Meets NLP: On the Semantic Similarity Between Subject-Verb-Object Phrases.
In Proceedings of the 2015 International Conference on Theory of Information Retrieval,
Northampton, Massachusetts, USA,
Dmitrijs Milajevs, Dimitri Kartsaklis, Mehrnoosh Sadrzadeh, Matthew Purver
Evaluating Neural Word Representations in Tensor-Based Compositional Settings.
In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP),
Dmitrijs Milajevs, Matthew Purver
Investigating the Contribution of Distributional Semantic Information for Dialogue Act Classification.
In Proceedings of the 2nd Workshop on Continuous Vector Space Models and their Compositionality (CVSC),
Dmitrijs Milajevs, Gosse Bouma
Real Time Discussion Retrieval from Twitter.
In Proceedings of the 22nd International Conference on World Wide Web Companion,
Rio de Janeiro, Brazil,
- Got involved in IWCS organization, London, UK.
- A talk about basic linguistics at PyGrunn,
Groningen, The Netherlands.
- Collaborations Workshop (CW14), Oxford, UK. CW is a very
friendly gathering of people who are concerned about qualitative research
software. A related post on how to setup a recomputable experiment.