Daniël De Kok Email & Phone Number
Who is Daniël De Kok? Overview
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Daniël De Kok is listed as Machine Learning & Natural Language Processing at Hugging Face, a company with 30 employees, based in Greater Groningen Area, Netherlands, Netherlands. AeroLeads shows a matched LinkedIn profile for Daniël De Kok.
Daniël De Kok previously worked as Machine Learning Ops Engineer at Hugging Face and Machine Learning & NLP consultant at Biaffine. Daniël De Kok holds Doctor Of Philosophy - Phd, Computational Linguistics, Graduated With Distinction from University Of Groningen.
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About Daniël De Kok
I have a background in natural language processing and machine learning. I also enjoy low-level programming in C, C++, Rust, CUDA, etc. In the past I have developed various natural language processing systems, everything from Prolog and C++ to a modern multi-task system using transformer models in Rust.I enjoy working with a closely-knit team with domain experts to quickly build and improve performant and accurate machine learning and natural language processing systems.Besides NLP/ML, I have a more general interest in UNIX systems and programming languages. I have participated in various UNIX-related projects over time, such as NetBSD, CentOS and the Nix/NixOS/nixpkgs ecosystem.
Daniël De Kok's current company
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Daniël De Kok work experience
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Machine Learning & Nlp Consultant
Machine Learning Engineer, Performance Team Lead
At Explosion I work on the Thinc machine learning library and the spaCy natural language processing library. Some of the things I worked on:- Designed and implemented Curated Transformers. Curated Transformers is a Python library of building blocks to implement transformer models. Curated Transformers supports popular encoder models such as XLM-RoBERTa.
Consultant Machine Learning & Nlp
- Further development of the SyntaxDot multi-task syntax annotator (in Rust), including a biaffine parser.- Customizations of SyntaxDot for customers, including a Java binding.- Developed an taught a course 'Transformers from Basic Principles'. This course took a bottom-up approach to teaching transformers, starting from basic linear algebra, finding.
Researcher
Assistant Professor
- My research focused on neural network models for syntax annotation, with a strong focus on dependency parsing, topological field annotation, and multi-task learning. This work culminated in several papers, including a paper selected as Outstanding Paper at ACL 2016.- Successfully applied for a renewal of a SFB (Sonderforschungsbereich) on composition.
Researcher
Worked in the CLARIN-D project on:- Improving reliability of WebLicht web services.- Improving scalability of WebLicht web services, including parallelization of heavier services such as parsers.- Rewrote core parts if the TüNDRA treebank search application for treebanks for better performance and to give incremental results while a query is executed..
Developer Language Technology
Worked on various parts of Gridline's language processing pipeline:- Implemented a new lemmatizer based on edit scripts and support vector machines (SVMs) to replace Gridline's rule-based lemmatizer.- Implemented a modular spell checking architecture.- Improvement of fuzzy lookups in various parts of Gridline's language processing pipeline using dictionary.
Lecturer
Researcher Phd Student
My PhD research project focused on natural language generation in the Alpino system for Dutch. Together with Gertjan van Noord, I implemented a chart generator that uses the Alpino grammar. I also developed a fluency ranker using maximum entropy models. The end result of the project was a truly reversible model, where the same grammar and maximum entropy.
Developer
Developed a hidden Markov model part-of-speech tagger and a decision-list based lemmatizer in Java.
Student Assistant
Created an online course for high-school students on information retrieval and natural language processing. After five years, this course is still used as-is by the university.Co-developed a content-management system for works of art, to support a joint research project of the University of Groningen, The Groningen Museum, and the Werkman Foundation. This.
System Developer
Co-developed the graphical installer and graphical configuration tool for Libranet Linux 3.0. Libranet was a commercial distribution based on Debian GNU/Linux, oriented at new Linux users. The installer and configuration tool were written in Perl using the Gtk2+ toolkit.
Colleagues at Hugging Face
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Rio Shaw
Colleague at Hugging FaceBirmingham, England, United Kingdom, United Kingdom
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AP
Agustín Piqueres Lajarín
Colleague at Hugging FaceGreater Valencia Metropolitan Area, Spain
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E A
Colleague at Hugging FaceEgypt, Egypt
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LK
Lucie-Aimée Kaffee
Colleague at Hugging FaceGermany, Germany
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ZS
Zorig S
Colleague at Hugging FaceSecaucus, New Jersey, United States, United States
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MS
Madhu Shinde
Colleague at Hugging FacePune, Maharashtra, India, India
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LT
Linoy Tsaban
Colleague at Hugging FaceTel Aviv-Yafo, Tel Aviv District, Israel, Israel
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JC
Jade Choghari
Colleague at Hugging FaceSan Francisco, California, United States, United States
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GB
Gaming Boys
Colleague at Hugging FacePanipat, Haryana, India, India
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BK
Brandon Kamau
Colleague at Hugging FaceWinter Park, Florida, United States, United States
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Daniël De Kok education
Doctor Of Philosophy - Phd, Computational Linguistics, Graduated With Distinction
Master Of Arts - Ma, Information Science/Studies, Graduated With Distinction
Bachelor Of Arts - Ba, Information Science/Studies, Graduated With Distinction
Propaedeutic Certificate, Philosophy
Frequently asked questions about Daniël De Kok
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What company does Daniël De Kok work for?
Daniël De Kok works for Hugging Face.
What is Daniël De Kok's role at Hugging Face?
Daniël De Kok is listed as Machine Learning & Natural Language Processing at Hugging Face.
Where is Daniël De Kok based?
Daniël De Kok is based in Greater Groningen Area, Netherlands, Netherlands while working with Hugging Face.
What companies has Daniël De Kok worked for?
Daniël De Kok has worked for Hugging Face, Biaffine, Explosion, Tensordot, and University Of Tübingen.
Who are Daniël De Kok's colleagues at Hugging Face?
Daniël De Kok's colleagues at Hugging Face include Rio Shaw, Agustín Piqueres Lajarín, E A, Lucie-Aimée Kaffee, and Zorig S.
How can I contact Daniël De Kok?
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What schools did Daniël De Kok attend?
Daniël De Kok holds Doctor Of Philosophy - Phd, Computational Linguistics, Graduated With Distinction from University Of Groningen.
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