Predicting Civil Unrest by Categorizing Dutch Twitter Events. - Rik van Noord; Florian A. Kunneman; Antal van den Bosch (BNCAI, 2016)

The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations. - Lasha Abzianidze; Johannes Bjerva; Kilian Evang; Hessel Haagsma; Rik van Noord; Pierre Ludmann; Duc-Duy Nguyen; Johan Bos (EACL (2), 2017)

Dealing with Co-reference in Neural Semantic Parsing. - Rik van Noord; Johan Bos (SemDeep@IWCS, 2017)

The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing. - Rik van Noord; Johan Bos (SemEval@ACL, 2017)

Neural Semantic Parsing by Character-based Translation: Experiments with Abstract Meaning Representations. - Rik van Noord; Johan Bos (CoRR, 2017)

Using Translated Data to Improve Deep Learning Author Profiling Models: Notebook for PAN at CLEF 2018. - Robert Veenhoven; Stan Snijders; Daniël van der Hall; Rik van Noord (CLEF (Working Notes), 2018)

A Taxonomy for In-depth Evaluation of Normalization for User Generated Content. - Rob van der Goot; Rik van Noord; Gertjan van Noord (LREC, 2018)

Evaluating Scoped Meaning Representations. - Rik van Noord; Lasha Abzianidze; Hessel Haagsma; Johan Bos (LREC, 2018)

UG18 at SemEval-2018 Task 1: Generating Additional Training Data for Predicting Emotion Intensity in Spanish. - Marloes Kuijper; Mike van Lenthe; Rik van Noord (SemEval@NAACL-HLT, 2018)

Exploring Neural Methods for Parsing Discourse Representation Structures. - Rik van Noord; Lasha Abzianidze; Antonio Toral; Johan Bos (Trans. Assoc. Comput. Linguistics, 2018)

Linguistic Information in Neural Semantic Parsing with Multiple Encoders. - Rik van Noord; Antonio Toral; Johan Bos (IWCS (2), 2019)

Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT. - Rik van Noord; Antonio Toral; Johan Bos (EMNLP (1), 2020)

Fair Is Better than Sensational: Man Is to Doctor as Woman Is to Doctor. - Malvina Nissim; Rik van Noord; Rob van der Goot (Comput. Linguistics, 2020)

The First Shared Task on Discourse Representation Structure Parsing. - Lasha Abzianidze; Rik van Noord; Hessel Haagsma; Johan Bos (CoRR, 2020)

The Parallel Meaning Bank: A Framework for Semantically Annotating Multiple Languages. - Lasha Abzianidze; Rik van Noord; Chunliu Wang; Johan Bos (CoRR, 2020)

Input Representations for Parsing Discourse Representation Structures: Comparing English with Chinese. - Chunliu Wang; Rik van Noord; Arianna Bisazza; Johan Bos (ACL/IJCNLP (2), 2021)

Transparent Semantic Parsing with Universal Dependencies Using Graph Transformations. - Wessel Poelman; Rik van Noord; Johan Bos (COLING, 2022)

MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages. - Marta Bañón; Miquel Esplà-Gomis; Mikel L. Forcada; Cristian García-Romero; Taja Kuzman; Nikola Ljubesic; Rik van Noord; Leopoldo Pla Sempere; Gema Ramírez-Sánchez; Peter Rupnik; Vít Suchomel; Antonio Toral; et al. (EAMT, 2022)

Automatic Discrimination of Human and Neural Machine Translation: A Study with Multiple Pre-Trained Models and Longer Context. - Tobias van der Werff; Rik van Noord; Antonio Toral (EAMT, 2022)

MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages. - Marta Bañón; Malina Chichirau; Miquel Esplà-Gomis; Mikel L. Forcada; Aarón Galiano Jiménez; Taja Kuzman; Nikola Ljubesic; Rik van Noord; Leopoldo Pla Sempere; Gema Ramírez-Sánchez; Peter Rupnik; Vit Suchomel; et al. (EAMT, 2023)

Automatic Discrimination of Human and Neural Machine Translation in Multilingual Scenarios. - Malina Chichirau; Rik van Noord; Antonio Toral (EAMT, 2023)

Controlling Topic-Focus Articulation in Meaning-to-Text Generation using Graph Neural Networks. - Chunliu Wang; Rik van Noord; Johan Bos (CoRR, 2023)

Do Language Models Care about Text Quality? Evaluating Web-Crawled Corpora across 11 Languages. - Rik van Noord; Taja Kuzman; Peter Rupnik; Nikola Ljubesic; Miquel Esplà-Gomis; Gema Ramírez-Sánchez; Antonio Toral (LREC/COLING, 2024)

Towards Tailored Recovery of Lexical Diversity in Literary Machine Translation. - Esther Ploeger; Huiyuan Lai; Rik van Noord; Antonio Toral (EAMT (1), 2024)

Exploring Self-Supervised Speech Representations for Cross-lingual Acoustic-to-Articulatory Inversion. - Yun Hao; Reihaneh Amooie; Wietse de Vries; Thomas Tienkamp; Rik van Noord; Martijn Wieling 001 (INTERSPEECH, 2024)

Language Models on a Diet: Cost-Efficient Development of Encoders for Closely-Related Languages via Additional Pretraining. - Nikola Ljubesic; Vít Suchomel; Peter Rupnik; Taja Kuzman; Rik van Noord (CoRR, 2024)

Gaining More Insight into Neural Semantic Parsing with Challenging Benchmarks. - Xiao Zhang; Chunliu Wang; Rik van Noord; Johan Bos (CoRR, 2024)

Multi-perspective Alignment for Increasing Naturalness in Neural Machine Translation. - Huiyuan Lai; Esther Ploeger; Rik van Noord; Antonio Toral (ACL (1), 2025)

Quality Beyond A Glance: Revealing Large Quality Differences Between Web-Crawled Parallel Corpora. - Rik van Noord; Miquel Esplà-Gomis; Malina Chichirau; Gema Ramírez-Sánchez; Antonio Toral (COLING, 2025)