基本信息
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职业迁徙
个人简介
My name is Dieuwke. I am currently appointed at the Institute for Logic, Language and Computation (ILLC), as a temporary lecturer at the University of Amsterdam. At this institute, under supervision of Willem Zuidema, I wrote also my doctorate dissertation – titled Hierarchy and interpretability in neural models of language processing. I will defend this work in June.
I started my journey in academia studying physics, but at some point I had to admit that although I think physics is very interesting and I love abstract systems, my true passion is really the beautifully complex system that is natural language. While doing a master in Logic at the University of Amsterdam I was very lucky to discover the field of computational linguistics (and in particular syntactic parsing). I am still very glad that I got the chance to have a job that allows me to try to find answers to the questions that intrigue me most.
In my current research, I focus on understanding what recurrent neural networks can teach us about processing of structure. Although such networks are of course nothing like the real brain, I hope that understanding the principles by which they can encode processes can still teach us something that will lead to a better understanding of language.
In my free time, I spend a lot of time training for pole dancing competitions with my duo partner Suzy. In fact, last year (2018), we won the national championships! If you are not convinced yet that it is a serious sport, have a look at our Instagram, or check our performance at the World’s in 2018!
I started my journey in academia studying physics, but at some point I had to admit that although I think physics is very interesting and I love abstract systems, my true passion is really the beautifully complex system that is natural language. While doing a master in Logic at the University of Amsterdam I was very lucky to discover the field of computational linguistics (and in particular syntactic parsing). I am still very glad that I got the chance to have a job that allows me to try to find answers to the questions that intrigue me most.
In my current research, I focus on understanding what recurrent neural networks can teach us about processing of structure. Although such networks are of course nothing like the real brain, I hope that understanding the principles by which they can encode processes can still teach us something that will lead to a better understanding of language.
In my free time, I spend a lot of time training for pole dancing competitions with my duo partner Suzy. In fact, last year (2018), we won the national championships! If you are not convinced yet that it is a serious sport, have a look at our Instagram, or check our performance at the World’s in 2018!
研究兴趣
论文共 5 篇作者统计合作学者相似作者
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CoRR (2023): 274-293
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Zenodo (CERN European Organization for Nuclear Research) (2023)
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BLACKBOXNLP WORKSHOP ON ANALYZING AND INTERPRETING NEURAL NETWORKS FOR NLP AT ACL 2019pp.III-III, (2019)
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semanticscholar(2016)
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