About

I'm a researcher in the field of Computational Linguistics and Natural Language Processing, and work as a teacher for the Information Science (Informatiekunde) program. I obtained my PhD in the field of Computational Semantics.

I have published over 25 peer-reviewed papers and consider myself an expert on ChatGPT and other Large Language Models. Currently, I'm an Assistant Professor in Humane AI at the University of Groningen, specializing in the impact of ChatGPT on society.

I'm always open for collaborations (students, researchers, industry, anything), so just contact me if you want to have a chat!

Contact: r.i.k.van.noord [at] rug.nl

Short bio

Presentaties en gastlessen

Ik geef vaak presentaties over ChatGPT en andere LLMs aan groepen niet-experts. Ik behandel alle ins en outs van ChatGPT:

Je krijgt van mij een luchtig en positief verhaal. De potentie van AI is enorm, zolang we er maar op de juiste manier mee omgaan. Tegelijkertijd moeten de schaduwkanten ook niet vergeten worden.

Deze presentatie kan in combinatie met een praktische workshop gegeven worden. Als je interesse hebt in een dergelijke presentatie of gastles kan je me altijd mailen. Tarieven in overleg.

Media

PhD students

Publications

2025

  • Quality Beyond A Glance: Revealing Large Quality Differences Between Web-Crawled Parallel Corpora
    COLING 2025
    Rik van Noord, Miquel Espla-Gomis, Malina Chichirau, Gema Ramirez-Sanchez and Antonio Toral

2024

  • Do Language Models Care About Text Quality? Evaluating Web-Crawled Corpora Across 11 Languages
    LREC-COLING 2024
    Rik van Noord, Taja Kuzman, Peter Rupnik, Nikola Ljubesic, Miquel Espla-Gomis, Gema Ramirez-Sanchez and Antonio Toral
  • Exploring Self-Supervised Speech Representations for Cross-lingual Acoustic-to-Articulatory Inversion
    Interspeech 2024
    Yun Hao, Reihaneh Amooie, Wietse de Vries, Thomas Tienkamp, Rik van Noord and Martijn Wieling
  • Towards Tailored Recovery of Lexical Diversity in Literary Machine Translation
    EAMT 2024
    Esther Ploeger, Huiyuan Lai, Rik van Noord and Antonio Toral
  • Gaining More Insight into Neural Semantic Parsing with Challenging Benchmarks
    5th DMRs (2024)
    Xiao Zhang, Chunliu Wang, Rik van Noord and Johan Bos
  • Language Models on a Diet: Cost-Efficient Development of Encoders for Closely-Related Languages via Additional Pretraining
    SIGUL 2024
    Nikola Ljubesic, Vit Suchomel, Peter Rupnik, Taja Kuzman and Rik van Noord

2023

  • Automatic Discrimination of Human and Neural Machine Translation in Multilingual Scenarios
    EAMT 2023
    Malina Chichirau, Rik van Noord, Antonio Toral

2022

  • Transparent Semantic Parsing with Universal Dependencies Using Graph Transformations
    COLING 2022
    Wessel Poelman, Rik van Noord and Johan Bos
  • Automatic Discrimination of Human and Neural MT: A Study with Multiple Pre-Trained Models and Longer Context
    EAMT 2022
    Tobias van der Werff, Rik van Noord and Antonio Toral
  • MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages
    EAMT 2022
    Banon et al. (14 authors in alphabetical order)
  • Building Domain-specific Corpora from the Web: the Case of European Digital Service Infrastructures
    BUCC 2022
    Rik van Noord, Cristian Garcia-Romero, Miquel Espla-Gomis, Leopoldo Pla and Antonio Toral

2021

  • Evaluating Text Generation from Discourse Representation Structures
    GEM Workshop 2021
    Chunliu Wang, Rik van Noord, Arianna Bisazza and Johan Bos
  • Improving DRS Parsing with Separately Predicted Semantic Roles
    ESSLLI 2021
    Tatiana Bladier, Gosse Minnema, Rik van Noord, and Kilian Evang
  • Input Representations for Parsing Discourse Representation Structures: Comparing English with Chinese
    ACL 2021
    Chunliu Wang, Rik van Noord, Arianna Bisazza and Johan Bos

2020

  • Character-based Neural Semantic Parsing
    PhD Thesis, 2020
    Rik van Noord
  • The Parallel Meaning Bank: A Framework for Semantically Annotating Multiple Languages
    arXiv (2020)
    Lasha Abzianidze, Rik van Noord, Chunliu Wang and Johan Bos
  • Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT
    EMNLP 2020
    Rik van Noord, Antonio Toral and Johan Bos
  • Fair Is Better than Sensational: Man Is to Doctor as Woman Is to Doctor
    CL Squib 2020
    Malvina Nissim, Rik van Noord and Rob van der Goot

2019

  • Linguistic Information in Neural Semantic Parsing with Multiple Encoders
    IWCS 2019
    Rik van Noord, Antonio Toral and Johan Bos
  • Neural Boxer at the IWCS Shared Task on DRS Parsing
    Proceedings of the IWCS 2019 Shared Task
    Rik van Noord
  • The First Shared Task on Discourse Representation Structure Parsing
    Proceedings of the IWCS 2019 Shared Task
    Lasha Abzianidze, Rik van Noord, Hessel Haagsma and Johan Bos

2018

  • Exploring Neural Methods for Parsing Discourse Representation Structures
    TACL 2018
    Rik van Noord, Lasha Abzianidze, Antonio Toral and Johan Bos
  • Evaluating Scoped Meaning Representations
    LREC 2018
    Rik van Noord, Lasha Abzianidze, Hessel Haagsma and Johan Bos
  • Using Translated Data to Improve Deep Learning Author Profiling Models
    PAN 2018
    Robert Veenhoven, Stan Snijders, Daniel van der Hall and Rik van Noord
  • Generating Additional Training Data for Predicting Emotion Intensity in Spanish
    SemEval 2018
    Marloes Kuijper, Mike van Lenthe and Rik van Noord
  • A Taxonomy for In-depth Evaluation of Normalization for User Generated Content
    LREC 2018
    Rob van der Goot, Rik van Noord and Gertjan van Noord

2017

  • Dealing with Co-reference in Neural Semantic Parsing
    Semantic Deep Learning Workshop (SemDeep-2), 2017.
    Rik van Noord & Johan Bos
  • Neural Semantic Parsing by Character-based Translation: Experiments with Abstract Meaning Representations
    CLIN 2017 Journal
    Rik van Noord & Johan Bos
  • The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations
    EACL 2017
    Abzianidze, L., Bjerva, J., Evang, K., Haagsma, H., van Noord, R., Ludmann, P., Nguyen, D. & Bos, J
  • The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing
    Proceedings of SemEval 2017.
    Rik van Noord & Johan Bos

2016

  • Predicting civil unrest by categorizing Dutch Twitter Events
    BNAIC 2016 (best paper award)
    Rik van Noord, Florian Kunneman, Antal van den Bosch

2015

  • Modeling the learning of the English past tense with memory-based learning
    CLIN Journal 2015
    Rik van Noord & Jennifer Spenader

Other

I'm a regular reviewer and area chair for *ACL conferences. I have also, among others, co-organized TABU Dag 2017, CLIN 2019, the IWCS 2019 Shared Task on semantic parsing, IWCS 2021, NITS 2022, CrowdMT 2023, Zpannend Zernike 2023-2025, and Semantics & AI 2024.

In my free time I like to participate in (pub)quizzes and the World Quizzing Championships. My modest claim to fame is getting third place in the Netherlands in 2023 and 2025, as evidenced on Wikipedia.