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Rik van Noord
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2020 – today
- 2024
- [c18]Rik van Noord, Taja Kuzman, Peter Rupnik, Nikola Ljubesic, Miquel Esplà-Gomis, Gema Ramírez-Sánchez, Antonio Toral:
Do Language Models Care about Text Quality? Evaluating Web-Crawled Corpora across 11 Languages. LREC/COLING 2024: 5221-5234 - [c17]Esther Ploeger, Huiyuan Lai, Rik van Noord, Antonio Toral:
Towards Tailored Recovery of Lexical Diversity in Literary Machine Translation. EAMT (1) 2024: 286-299 - [i16]Rik van Noord, Taja Kuzman, Peter Rupnik, Nikola Ljubesic, Miquel Esplà-Gomis, Gema Ramírez-Sánchez, Antonio Toral:
Do Language Models Care About Text Quality? Evaluating Web-Crawled Corpora Across 11 Languages. CoRR abs/2403.08693 (2024) - [i15]Nikola Ljubesic, Vít Suchomel, Peter Rupnik, Taja Kuzman, Rik van Noord:
Language Models on a Diet: Cost-Efficient Development of Encoders for Closely-Related Languages via Additional Pretraining. CoRR abs/2404.05428 (2024) - [i14]Xiao Zhang, Chunliu Wang, Rik van Noord, Johan Bos:
Gaining More Insight into Neural Semantic Parsing with Challenging Benchmarks. CoRR abs/2404.08354 (2024) - [i13]Esther Ploeger, Huiyuan Lai, Rik van Noord, Antonio Toral:
Towards Tailored Recovery of Lexical Diversity in Literary Machine Translation. CoRR abs/2408.17308 (2024) - 2023
- [c16]Malina Chichirau, Rik van Noord, Antonio Toral:
Automatic Discrimination of Human and Neural Machine Translation in Multilingual Scenarios. EAMT 2023: 217-226 - [c15]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, Antonio Toral, Jaume Zaragoza-Bernabeu:
MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages. EAMT 2023: 505-506 - [i12]Malina Chichirau, Rik van Noord, Antonio Toral:
Automatic Discrimination of Human and Neural Machine Translation in Multilingual Scenarios. CoRR abs/2305.19757 (2023) - [i11]Chunliu Wang, Rik van Noord, Johan Bos:
Controlling Topic-Focus Articulation in Meaning-to-Text Generation using Graph Neural Networks. CoRR abs/2310.02053 (2023) - 2022
- [c14]Wessel Poelman, Rik van Noord, Johan Bos:
Transparent Semantic Parsing with Universal Dependencies Using Graph Transformations. COLING 2022: 4186-4192 - [c13]Tobias van der Werff, Rik van Noord, Antonio Toral:
Automatic Discrimination of Human and Neural Machine Translation: A Study with Multiple Pre-Trained Models and Longer Context. EAMT 2022: 161-170 - [c12]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, Tobias van der Werff, Jaume Zaragoza:
MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages. EAMT 2022: 301-302 - 2021
- [c11]Chunliu Wang, Rik van Noord, Arianna Bisazza, Johan Bos:
Input Representations for Parsing Discourse Representation Structures: Comparing English with Chinese. ACL/IJCNLP (2) 2021: 767-775 - 2020
- [j2]Malvina Nissim, Rik van Noord, Rob van der Goot:
Fair Is Better than Sensational: Man Is to Doctor as Woman Is to Doctor. Comput. Linguistics 46(2): 487-497 (2020) - [c10]Rik van Noord, Antonio Toral, Johan Bos:
Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT. EMNLP (1) 2020: 4587-4603 - [i10]Lasha Abzianidze, Rik van Noord, Hessel Haagsma, Johan Bos:
The First Shared Task on Discourse Representation Structure Parsing. CoRR abs/2005.13399 (2020) - [i9]Rik van Noord, Antonio Toral, Johan Bos:
Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT. CoRR abs/2011.04308 (2020) - [i8]Lasha Abzianidze, Rik van Noord, Chunliu Wang, Johan Bos:
The Parallel Meaning Bank: A Framework for Semantically Annotating Multiple Languages. CoRR abs/2012.14854 (2020)
2010 – 2019
- 2019
- [c9]Rik van Noord, Antonio Toral, Johan Bos:
Linguistic Information in Neural Semantic Parsing with Multiple Encoders. IWCS (2) 2019: 24-31 - [i7]Malvina Nissim, Rik van Noord, Rob van der Goot:
Fair is Better than Sensational: Man is to Doctor as Woman is to Doctor. CoRR abs/1905.09866 (2019) - 2018
- [j1]Rik van Noord, Lasha Abzianidze, Antonio Toral, Johan Bos:
Exploring Neural Methods for Parsing Discourse Representation Structures. Trans. Assoc. Comput. Linguistics 6: 619-633 (2018) - [c8]Robert Veenhoven, Stan Snijders, Daniël van der Hall, Rik van Noord:
Using Translated Data to Improve Deep Learning Author Profiling Models: Notebook for PAN at CLEF 2018. CLEF (Working Notes) 2018 - [c7]Rob van der Goot, Rik van Noord, Gertjan van Noord:
A Taxonomy for In-depth Evaluation of Normalization for User Generated Content. LREC 2018 - [c6]Rik van Noord, Lasha Abzianidze, Hessel Haagsma, Johan Bos:
Evaluating Scoped Meaning Representations. LREC 2018 - [c5]Marloes Kuijper, Mike van Lenthe, Rik van Noord:
UG18 at SemEval-2018 Task 1: Generating Additional Training Data for Predicting Emotion Intensity in Spanish. SemEval@NAACL-HLT 2018: 279-285 - [i6]Rik van Noord, Lasha Abzianidze, Hessel Haagsma, Johan Bos:
Evaluating Scoped Meaning Representations. CoRR abs/1802.08599 (2018) - [i5]Marloes Kuijper, Mike van Lenthe, Rik van Noord:
UG18 at SemEval-2018 Task 1: Generating Additional Training Data for Predicting Emotion Intensity in Spanish. CoRR abs/1805.10824 (2018) - [i4]Rik van Noord, Lasha Abzianidze, Antonio Toral, Johan Bos:
Exploring Neural Methods for Parsing Discourse Representation Structures. CoRR abs/1810.12579 (2018) - 2017
- [c4]Lasha Abzianidze, Johannes Bjerva, Kilian Evang, Hessel Haagsma, Rik van Noord, Pierre Ludmann, Duc-Duy Nguyen, Johan Bos:
The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations. EACL (2) 2017: 242-247 - [c3]Rik van Noord, Johan Bos:
Dealing with Co-reference in Neural Semantic Parsing. SemDeep@IWCS 2017: 41-49 - [c2]Rik van Noord, Johan Bos:
The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing. SemEval@ACL 2017: 929-933 - [i3]Lasha Abzianidze, Johannes Bjerva, Kilian Evang, Hessel Haagsma, Rik van Noord, Pierre Ludmann, Duc-Duy Nguyen, Johan Bos:
The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations. CoRR abs/1702.03964 (2017) - [i2]Rik van Noord, Johan Bos:
The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing. CoRR abs/1704.02156 (2017) - [i1]Rik van Noord, Johan Bos:
Neural Semantic Parsing by Character-based Translation: Experiments with Abstract Meaning Representations. CoRR abs/1705.09980 (2017) - 2016
- [c1]Rik van Noord, Florian A. Kunneman, Antal van den Bosch:
Predicting Civil Unrest by Categorizing Dutch Twitter Events. BNCAI 2016: 3-16
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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