Welcome
Hi there! I’m a Research Engineer at Google. Previously as I was a PhD candidate at the Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam, working on Neural Machine Translation and Machine Learning for NLP advised by Wilker Aziz, Ivan Titov, and Khalil Sima’an. My research was part of the project Machine Translators: Teaching Computers to Translate Using Their Own Words.
Publications
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Joost Bastings, Wilker Aziz, Ivan Titov (2019). Interpretable Neural Predictions with Differentiable Binary Variables. ACL. Florence, Italy. [bib] [code]
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Joost Bastings, Marco Baroni, Jason Weston, Kyunghyun Cho, Douwe Kiela (2018). Jump to better conclusions: SCAN both left and right. Workshop on Analyzing and Interpreting Neural Networks for NLP, EMNLP. Brussels, Belgium. [bib] [poster]
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Joost Bastings. 2018. The Annotated Encoder-Decoder with Attention. https://bastings.github.io/annotated_encoder_decoder/ [bib]
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Diego Marcheggiani, Joost Bastings, Ivan Titov (2018). Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks. NAACL-HLT’18. New Orleans, USA. [bib]
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Joost Bastings, Wilker Aziz, Ivan Titov, Khalil Sima’an (2018). Modeling Latent Sentence Structure in Neural Machine Translation. ACL’18 NMT workshop (extended abstract). Melbourne, Australia. [poster]
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Joost Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani, Khalil Sima’an (2017). Graph Convolutional Encoders for Syntax-aware Neural Machine Translation. EMNLP’17. Copenhagen, Denmark. [bib] [code] [data]
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Jan-Thorsten Peter, Hermann Ney, Ondrej Bojar, Ngoc-Quan Pham, Jan Niehues, Alex Waibel, Franck Burlot, François Yvon, Mārcis Pinnis, Valters Šics, Joost Bastings, Miguel Rios, Wilker Aziz, Philip Williams, Frédéric Blain, and Lucia Specia (2017). The QT21 Combined Machine Translation System for English to Latvian. WMT’17. Copenhagen, Denmark. [bib]
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Joost Bastings and Khalil Sima’an (2014). All Fragments Count in Parser Evaluation. Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14). Reykjavik, Iceland. [bib] [code]
Reviewing
- CoNLL 2019
- EMNLP 2019
- ACL 2019
- ICLR 2019 Debug ML workshop
- WMT 2018
- CONLL 2018
- EMNLP 2018
- ACL NMT 2018
Supervision
- Laura Ruis (June 2018). MSc AI individual project.
- Joost Baptist (2017). MSc Thesis AI. Graduated.
Teaching
- MSc AI, Natural Language Processing 1. Fall 2018. TA & guest lecturer on SMT.
- MSc AI, Natural Language Processing 1. Fall 2017. TA & guest lecturer on SMT.
- MSc AI, Natural Language Processing 2. Spring 2017. TA & guest lecturer on NMT.
- MSc AI, Natural Language Processing 1. Fall 2016. TA & guest lecturer on SMT.
- MSc AI, Logic Programming / Prolog. Fall 2015. TA.
Talks
- 7 Sep 2017. Invited talk at Deep Learning on Irregular Domains (DLID) workshop, BMVC 2017, London. Graph Convolutional Networks for Natural Language Processing.
- 12 July 2017. Invited talk at Textkernel. Using Graph Convolutional Encoders for improved Neural Machine Translation.
Short CV
- 2018 Research Intern at Facebook AI Research. New York, USA.
- 2015–Now. PhD Candidate at the Institute for Logic, Language and Computation, University of Amsterdam.
- 2012–2014. Trainee at Volvo Cars. Gothenburg, Sweden.
- 2010 Extreme Blue & Explovate intern at IBM. Amsterdam, The Netherlands.
Education
MSc Artificial Intelligence
University of Amsterdam. 2009 – 2012. Cum laude.
Thesis: The Graph Symbol Model: Context-Free Parsing with Context
BSc Artificial Intelligence
Utrecht University. 2006 – 2009. Cum laude.
Thesis: Finding Words in Continuous Speech
Contact
Check out my Github profile @bastings or find my contact details at my ILLC page.
