---
title: "Netherlands — works"
description: "Works of Netherlands: 204 in our library · page 1 of 3, the most cited first."
canonical: "https://research.elamur.ai/free/en/countries/netherlands/works/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/countries/netherlands/works/)

[home](https://md.research.elamur.ai/free/en/) / [countries](https://md.research.elamur.ai/free/en/countries/) / [Netherlands](https://md.research.elamur.ai/free/en/countries/netherlands/) / works

# Works of Netherlands

204 · page 1 of 3 · the most cited first · [← Netherlands](https://md.research.elamur.ai/free/en/countries/netherlands/)

**1** [2](https://md.research.elamur.ai/free/en/countries/netherlands/works/page/2/) [3](https://md.research.elamur.ai/free/en/countries/netherlands/works/page/3/) [next →](https://md.research.elamur.ai/free/en/countries/netherlands/works/page/2/)

1. [**SciPy 1.0 — Fundamental Algorithms for Scientific Computing in Python**Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, et al.*2019 · 38,317 citations*](https://md.research.elamur.ai/free/en/papers/virtanen-2019-scipy-1-0-fundamental-algorithms/)
2. [**Auto-Encoding Variational Bayes**Diederik P Kingma, Max Welling*2013 · 14,991 citations*](https://md.research.elamur.ai/free/en/papers/kingma-2013-auto-encoding-variational-bayes/)
3. [**Politeness: Some Universals in Language Usage**Penelope Brown, Stephen C. Levinson, John J. Gumperz*1987 · 10,545 citations*](https://md.research.elamur.ai/free/en/papers/brown-1987-politeness-some-universals-language-usage/)
4. [**Semi-Supervised Classification with Graph Convolutional Networks**Thomas N. Kipf, Max Welling*2016 · 8,809 citations*](https://md.research.elamur.ai/free/en/papers/kipf-2016-semi-supervised-classification-graph-convolutional/)
5. [**Multitask Prompted Training Enables Zero-Shot Task Generalization**Victor Sanh, Albert Webson, Colin Raffel, et al.*2021 · 1,577 citations*](https://md.research.elamur.ai/free/en/papers/sanh-2021-multitask-prompted-training-enables-zero/)
6. [**Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned**Elena Voita, David Talbot, Fedor Moiseev, et al.*2019 · 1,511 citations*](https://md.research.elamur.ai/free/en/papers/voita-2019-analyzing-multi-head-self-attention/)
7. [**ELAN: a Professional Framework for Multimodality Research**Peter Wittenburg, Hennie Brugman, Albert Russel, et al.*2006 · 1,427 citations*](https://md.research.elamur.ai/free/en/papers/wittenburg-2006-elan-professional-framework-multimodality-research/)
8. [**CoNLL-X Shared Task on Multilingual Dependency Parsing**Sabine Buchholz, Erwin Marsi*2006 · 1,426 citations*](https://md.research.elamur.ai/free/en/papers/buchholz-2006-conll-x-shared-task-multilingual/)
9. [**Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling**Diego Marcheggiani, Ivan Titov*2017 · 1,101 citations*](https://md.research.elamur.ai/free/en/papers/marcheggiani-2017-encoding-sentences-graph-convolutional-networks/)
10. [**Quantifying Attention Flow in Transformers**Samira Abnar, Willem Zuidema*2020 · 1,049 citations*](https://md.research.elamur.ai/free/en/papers/abnar-2020-quantifying-attention-flow-transformers/)
11. [**Findings of the 2016 Conference on Machine Translation**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2016 · 936 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2016-findings-2016-conference-machine-translation/)
12. [**Findings of the 2019 Conference on Machine Translation (WMT19)**Loïc Barrault, Ondřej Bojar, Marta R. Costa-jussà, et al.*2019 · 839 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2019-findings-2019-conference-machine-translation/)
13. [**A Comparison of Algorithms for Maximum Entropy Parameter Estimation**Robert Malouf*2002 · 752 citations*](https://md.research.elamur.ai/free/en/papers/malouf-2002-comparison-algorithms-maximum-entropy-parameter/)
14. [**Findings of the 2018 Conference on Machine Translation (WMT18)**Ondřej Bojar, Christian Federmann, Mark Fishel, et al.*2018 · 747 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2018-findings-2018-conference-machine-translation/)
15. [**The stages of event extraction**David Ahn*2006 · 704 citations*](https://md.research.elamur.ai/free/en/papers/ahn-2006-stages-event-extraction/)
16. [**Findings of the 2017 Conference on Machine Translation (WMT17)**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2017 · 685 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2017-findings-2017-conference-machine-translation/)
17. [**KILT: a Benchmark for Knowledge Intensive Language Tasks**Fabio Petroni, Aleksandra Piktus, Angela Fan, et al.*2020 · 663 citations*](https://md.research.elamur.ai/free/en/papers/petroni-2020-kilt-benchmark-knowledge-intensive-language/)
18. [**The JRC-Acquis: A Multilingual Aligned Parallel Corpus with 20+ Languages**Ralf Steinberger, Bruno Pouliquen, Anna Widiger, et al.*2006 · 656 citations*](https://md.research.elamur.ai/free/en/papers/steinberger-2006-jrc-acquis-multilingual-aligned-parallel/)
19. [**Representing Text Chunks**Erik F. Tjong Kim Sang, Jorn Veenstra*1999 · 569 citations*](https://md.research.elamur.ai/free/en/papers/sang-1999-representing-text-chunks/)
20. [**Results of the WNUT2017 Shared Task on Novel and Emerging Entity Recognition**Leon Derczynski, Eric Nichols, Marieke van Erp, et al.*2017 · 534 citations*](https://md.research.elamur.ai/free/en/papers/derczynski-2017-results-wnut2017-shared-task-novel/)
21. [**The LAMBADA dataset: Word prediction requiring a broad discourse context**Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, et al.*2016 · 506 citations*](https://md.research.elamur.ai/free/en/papers/paperno-2016-lambada-dataset-word-prediction-requiring/)
22. [**Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents**Weiwei Sun, Lingyong Yan, Xinyu Ma, et al.*2023 · 493 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-chatgpt-good-search-investigating-large/)
23. [**HateBERT: Retraining BERT for Abusive Language Detection in English**Tommaso Caselli, Valerio Basile, Jelena Mitrović, et al.*2021 · 481 citations*](https://md.research.elamur.ai/free/en/papers/caselli-2021-hatebert-retraining-bert-abusive-language/)
24. [**Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation**Biao Zhang, Philip Williams, Ivan Titov, et al.*2020 · 472 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-improving-massively-multilingual-neural-machine/)
25. [**Findings of the 2015 Workshop on Statistical Machine Translation**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2015 · 461 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2015-findings-2015-workshop-statistical-machine/)
26. [**Context-Aware Neural Machine Translation Learns Anaphora Resolution**Elena Voita, Pavel Serdyukov, Rico Sennrich, et al.*2018 · 446 citations*](https://md.research.elamur.ai/free/en/papers/voita-2018-context-aware-neural-machine-translation/)
27. [**Findings of the 2013 Workshop on Statistical Machine Translation**Ondřej Bojar, Christian Buck, Chris Callison-Burch, et al.*2013 · 441 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2013-findings-2013-workshop-statistical-machine/)
28. [**Neural versus Phrase-Based Machine Translation Quality: a Case Study**Luisa Bentivogli, Arianna Bisazza, Mauro Cettolo, et al.*2016 · 436 citations*](https://md.research.elamur.ai/free/en/papers/bentivogli-2016-neural-versus-phrase-based-machine/)
29. [**Computational Generation of Referring Expressions: A Survey**Emiel Krahmer, Kees van Deemter*2012 · 430 citations*](https://md.research.elamur.ai/free/en/papers/krahmer-2012-computational-generation-referring-expressions-survey/)
30. [**Data Augmentation for Low-Resource Neural Machine Translation**Marzieh Fadaee, Arianna Bisazza, Christof Monz*2017 · 419 citations*](https://md.research.elamur.ai/free/en/papers/fadaee-2017-data-augmentation-low-resource-neural/)
31. [**Findings of the 2020 Conference on Machine Translation (WMT20)**Loïc Barrault, Magdalena Biesialska, Ondřej Bojar, et al.*2020 · 401 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2020-findings-2020-conference-machine-translation/)
32. [**Long Range Arena: A Benchmark for Efficient Transformers**Yi Tay, Mostafa Dehghani, Samira Abnar, et al.*2020 · 396 citations*](https://md.research.elamur.ai/free/en/papers/tay-2020-long-range-arena-benchmark-efficient/)
33. [**Sentence Simplification by Monolingual Machine Translation**Sander Wubben, Antal van den Bosch, Emiel Krahmer*2012 · 391 citations*](https://md.research.elamur.ai/free/en/papers/wubben-2012-sentence-simplification-monolingual-machine-translation/)
34. [**BPE-Dropout: Simple and Effective Subword Regularization**Ivan Provilkov, Dmitrii Emelianenko, Elena Voita*2020 · 389 citations*](https://md.research.elamur.ai/free/en/papers/provilkov-2020-bpe-dropout-simple-effective-subword/)
35. [**Truth Is a Lie: Crowd Truth and the Seven Myths of Human Annotation**Lora M. Aroyo, Chris Welty*2015 · 385 citations*](https://md.research.elamur.ai/free/en/papers/aroyo-2015-truth-lie-crowd-truth-seven/)
36. [**A Shared Task on Multimodal Machine Translation and Crosslingual Image Description**Lucia Specia, Stella Frank, Khalil Sima'an, et al.*2016 · 351 citations*](https://md.research.elamur.ai/free/en/papers/specia-2016-shared-task-multimodal-machine-translation/)
37. [**Information-Theoretic Probing with Minimum Description Length**Elena Voita, Ivan Titov*2020 · 339 citations*](https://md.research.elamur.ai/free/en/papers/voita-2020-information-theoretic-probing-minimum-description/)
38. [**MBT: A Memory-Based Part of Speech Tagger-Generator**Walter Daelemans, Jakub Zavrel, Peter Berck, et al.*1996 · 336 citations*](https://md.research.elamur.ai/free/en/papers/daelemans-1996-mbt-memory-based-part-speech/)
39. [**TextWorld: A Learning Environment for Text-based Games**Marc-Alexandre Cote, Akos Kadar, Xingdi Yuan, et al.*2018 · 331 citations*](https://md.research.elamur.ai/free/en/papers/cote-2018-textworld-learning-environment-text-based/)
40. [**Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation**Antonio Toral, Sheila Castilho, Ke Hu, et al.*2018 · 321 citations*](https://md.research.elamur.ai/free/en/papers/toral-2018-attaining-unattainable-reassessing-claims-human/)
41. [**When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion**Elena Voita, Rico Sennrich, Ivan Titov*2019 · 321 citations*](https://md.research.elamur.ai/free/en/papers/voita-2019-when-good-translation-is-wrong/)
42. [**The perfect solution for detecting sarcasm in tweets #not**Christine Liebrecht, Florian Kunneman, Antal van den Bosch*2013 · 274 citations*](https://md.research.elamur.ai/free/en/papers/liebrecht-2013-perfect-solution-detecting-sarcasm-tweets/)
43. [**Using a sledgehammer to crack a nut? Lexical diversity and event coreference resolution**Agata Cybulska, Piek Vossen*2014 · 246 citations*](https://md.research.elamur.ai/free/en/papers/cybulska-2014-sledgehammer-crack-nut-lexical-diversity/)
44. [**Analysing Lexical Semantic Change with Contextualised Word Representations**Mario Giulianelli, Marco Del Tredici, Raquel Fernández*2020 · 239 citations*](https://md.research.elamur.ai/free/en/papers/giulianelli-2020-analysing-lexical-semantic-change-contextualised/)
45. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
46. [**ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning**Petter Tornberg*2023 · 230 citations*](https://md.research.elamur.ai/free/en/papers/tornberg-2023-chatgpt-4-outperforms-experts-crowd/)
47. [**Open-Domain Question Answering Goes Conversational via Question Rewriting**Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu, et al.*2021 · 227 citations*](https://md.research.elamur.ai/free/en/papers/anantha-2021-open-domain-question-answering-goes/)
48. [**Findings of the Third Shared Task on Multimodal Machine Translation**Loïc Barrault, Fethi Bougares, Lucia Specia, et al.*2018 · 227 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2018-findings-third-shared-task-multimodal/)
49. [**TrustLLM: Trustworthiness in Large Language Models**Yue Huang, Lichao Sun, Haoran Wang, et al.*2024 · 226 citations*](https://md.research.elamur.ai/free/en/papers/huang-2024-trustllm-trustworthiness-large-language-models/)
50. [**The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives**Elena Voita, Rico Sennrich, Ivan Titov*2019 · 222 citations*](https://md.research.elamur.ai/free/en/papers/voita-2019-bottom-up-evolution-representations-transformer/)
51. [**Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing**Edoardo Maria Ponti, Helen O'Horan, Yevgeni Berzak, et al.*2019 · 217 citations*](https://md.research.elamur.ai/free/en/papers/ponti-2019-modeling-language-variation-universals-survey/)
52. [**Results of the WMT17 Metrics Shared Task**Ondřej Bojar, Yvette Graham, Amir Kamran*2017 · 210 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2017-results-wmt17-metrics-shared-task/)
53. [**Towards an ISO Standard for Dialogue Act Annotation**Harry Bunt, Jan Alexandersson, Jean Carletta, et al.*2010 · 210 citations*](https://md.research.elamur.ai/free/en/papers/bunt-2010-iso-standard-dialogue-act-annotation/)
54. [**HateCheck: Functional Tests for Hate Speech Detection Models**Paul Röttger, Bertie Vidgen, Dong Nguyen, et al.*2021 · 202 citations*](https://md.research.elamur.ai/free/en/papers/rottger-2021-hatecheck-functional-tests-hate-speech/)
55. [**Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss**Barbara Plank, Anders Søgaard, Yoav Goldberg*2016 · 201 citations*](https://md.research.elamur.ai/free/en/papers/plank-2016-multilingual-part-speech-tagging-bidirectional/)
56. [**Multilingual Projection for Parsing Truly Low-Resource Languages**Željko Agić, Anders Johannsen, Barbara Plank, et al.*2016 · 195 citations*](https://md.research.elamur.ai/free/en/papers/agic-2016-multilingual-projection-parsing-truly-low/)
57. [**The emergence of number and syntax units in LSTM language models**Yair Lakretz, German Kruszewski, Theo Desbordes, et al.*2019 · 194 citations*](https://md.research.elamur.ai/free/en/papers/lakretz-2019-emergence-number-syntax-units-lstm/)
58. [**IGTree: Using Trees for Compression and Classification in Lazy Learning Algorithms**Walter Daelemans, Antal van den Bosch, Ton Weijters*1997 · 191 citations*](https://md.research.elamur.ai/free/en/papers/daelemans-1997-igtree-trees-compression-classification-lazy/)
59. [**Graph Convolutional Encoders for Syntax-aware Neural Machine Translation**Jasmijn Bastings, Ivan Titov, Wilker Aziz, et al.*2017 · 190 citations*](https://md.research.elamur.ai/free/en/papers/bastings-2017-graph-convolutional-encoders-syntax-aware/)
60. [**ISO 24617-2: A semantically-based standard for dialogue annotation**Harry Bunt, Jan Alexandersson, Jae-Woong Choe, et al.*2012 · 182 citations*](https://md.research.elamur.ai/free/en/papers/bunt-2012-iso-24617-2-semantically-based/)
61. [**Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP**Rob van der Goot, Ahmet Üstün, Alan Ramponi, et al.*2021 · 177 citations*](https://md.research.elamur.ai/free/en/papers/goot-2021-massive-choice-ample-tasks-machamp/)
62. [**Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet**Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, et al.*2024 · 177 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2024-findings-wmt24-general-machine-translation/)
63. [**Developing a large semantically annotated corpus**Valerio Basile, Johan Bos, Kilian Evang, et al.*2012 · 176 citations*](https://md.research.elamur.ai/free/en/papers/basile-2012-developing-large-semantically-annotated-corpus/)
64. [**Results of the WMT16 Metrics Shared Task**Ondřej Bojar, Yvette Graham, Amir Kamran, et al.*2016 · 175 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2016-results-wmt16-metrics-shared-task/)
65. [**Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign**Marcos Zampieri, Shervin Malmasi, Preslav Nakov, et al.*2018 · 169 citations*](https://md.research.elamur.ai/free/en/papers/zampieri-2018-language-identification-morphosyntactic-tagging-second/)
66. [**A Report on the 2018 VUA Metaphor Detection Shared Task**Chee Wee (Ben) Leong, Beata Beigman Klebanov, Ekaterina Shutova*2018 · 167 citations*](https://md.research.elamur.ai/free/en/papers/leong-2018-report-2018-vua-metaphor-detection/)
67. [**Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation**Bryan Eikema, Wilker Aziz*2020 · 165 citations*](https://md.research.elamur.ai/free/en/papers/eikema-2020-is-map-decoding-all-you/)
68. [**PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts**Stephen H. Bach, Victor Sanh, Zheng-Xin Yong, et al.*2022 · 164 citations*](https://md.research.elamur.ai/free/en/papers/bach-2022-promptsource-integrated-development-environment-repository/)
69. [**The 2020 Bilingual, Bi-Directional WebNLG+ Shared Task: Overview and Evaluation Results (WebNLG+ 2020)**Thiago Castro Ferreira, Claire Gardent, Nikolai Ilinykh, et al.*2020 · 163 citations*](https://md.research.elamur.ai/free/en/papers/ferreira-2020-2020-bilingual-bi-directional-webnlg/)
70. [**I Feel Offended, Don't Be Abusive! Implicit/Explicit Messages in Offensive and Abusive Language**Tommaso Caselli, Valerio Basile, Jelena Mitrović, et al.*2020 · 157 citations*](https://md.research.elamur.ai/free/en/papers/caselli-2020-i-feel-offended-don-t/)
71. [**DGT-TM: A freely available Translation Memory in 22 languages**Ralf Steinberger, Andreas Eisele, Szymon Klocek, et al.*2012 · 156 citations*](https://md.research.elamur.ai/free/en/papers/steinberger-2012-dgt-tm-freely-available-translation/)
72. [**Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent**Markus Freitag, Nitika Mathur, Chi-kiu Lo, et al.*2023 · 155 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2023-results-wmt23-metrics-shared-task/)
73. [**The Effect of Translationese in Machine Translation Test Sets**Mike Zhang, Antonio Toral*2019 · 149 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-effect-translationese-machine-translation-test/)
74. [**Neural Semantic Parsing by Character-based Translation: Experiments with Abstract Meaning Representations**Rik van Noord, Johan Bos*2017 · 137 citations*](https://md.research.elamur.ai/free/en/papers/noord-2017-neural-semantic-parsing-character-based/)
75. [**The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations**Lasha Abzianidze, Johannes Bjerva, Kilian Evang, et al.*2017 · 134 citations*](https://md.research.elamur.ai/free/en/papers/abzianidze-2017-parallel-meaning-bank-multilingual-corpus/)
76. [**Findings of the WMT 2023 Shared Task on Quality Estimation**Frederic Blain, Chrysoula Zerva, Ricardo Rei, et al.*2023 · 129 citations*](https://md.research.elamur.ai/free/en/papers/blain-2023-findings-wmt-2023-shared-task/)
77. [**Interpretable Neural Predictions with Differentiable Binary Variables**Jasmijn Bastings, Wilker Aziz, Ivan Titov*2019 · 126 citations*](https://md.research.elamur.ai/free/en/papers/bastings-2019-interpretable-neural-predictions-differentiable-binary/)
78. [**A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine Translation**Mathias Müller, Annette Rios, Elena Voita, et al.*2018 · 123 citations*](https://md.research.elamur.ai/free/en/papers/muller-2018-large-scale-test-set-evaluation/)
79. [**MAGPIE: A Large Corpus of Potentially Idiomatic Expressions**Hessel Haagsma, Johan Bos, Malvina Nissim*2020 · 116 citations*](https://md.research.elamur.ai/free/en/papers/haagsma-2020-magpie-large-corpus-potentially-idiomatic/)
80. [**CILI: the Collaborative Interlingual Index**Francis Bond, Piek Vossen, John P. McCrae, et al.*2016 · 109 citations*](https://md.research.elamur.ai/free/en/papers/bond-2016-cili-collaborative-interlingual-index/)
81. [**Are LLMs Breaking MT Metrics? Results of the WMT24 Metrics Shared Task**Markus Freitag, Nitika Mathur, Daniel Deutsch, et al.*2024 · 106 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2024-are-llms-breaking-mt-metrics/)
82. [**Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation**Verna Dankers, Christopher Lucas, Ivan Titov*2022 · 105 citations*](https://md.research.elamur.ai/free/en/papers/dankers-2022-can-transformer-be-too-compositional/)
83. [**A Rule Based Approach to Discourse Parsing**Livia Polanyi, Chris Culy, Martin van den Berg, et al.*2004 · 94 citations*](https://md.research.elamur.ai/free/en/papers/polanyi-2004-rule-based-approach-discourse-parsing/)
84. [**A Coreference Corpus and Resolution System for Dutch**Iris Hendrickx, Gosse Bouma, Frederik Coppens, et al.*2008 · 92 citations*](https://md.research.elamur.ai/free/en/papers/hendrickx-2008-coreference-corpus-resolution-system-dutch/)
85. [**A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling**Diego Marcheggiani, Anton Frolov, Ivan Titov*2017 · 86 citations*](https://md.research.elamur.ai/free/en/papers/marcheggiani-2017-simple-accurate-syntax-agnostic-neural/)
86. [**Dialogue Act Recognition with Bayesian Networks for Dutch Dialogues**Simon Keizer, Rieks op den Akker, Anton Nijholt*2002 · 83 citations*](https://md.research.elamur.ai/free/en/papers/keizer-2002-dialogue-act-recognition-bayesian-networks/)
87. [**UniMorph 4.0: Universal Morphology**Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa*2022 · 82 citations*](https://md.research.elamur.ai/free/en/papers/batsuren-2022-unimorph-4/)
88. [**Translating Granularity of Event Slots into Features for Event Coreference Resolution.**Agata Cybulska, Piek Vossen*2015 · 75 citations*](https://md.research.elamur.ai/free/en/papers/cybulska-2015-translating-granularity-event-slots-into/)
89. [**Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test Sets**Tom Kocmi, Ekaterina Artemova, Eleftherios Avramidis, et al.*2025 · 73 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2025-findings-wmt25-general-machine-translation/)
90. [**Annotating the meaning of discourse connectives by looking at their translation: The translation-spotting technique**Bruno Cartoni, Sandrine Zufferey, Thomas Meyer*2013 · 69 citations*](https://md.research.elamur.ai/free/en/papers/cartoni-2013-annotating-meaning-discourse-connectives-looking/)
91. [**Integrated Morphological and Syntactic Disambiguation for Modern Hebrew**Reut Tsarfaty*2006 · 67 citations*](https://md.research.elamur.ai/free/en/papers/tsarfaty-2006-integrated-morphological-syntactic-disambiguation-modern/)
92. [**The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse**Pere-Lluís Huguet Cabot, Verna Dankers, David Abadi, et al.*2020 · 64 citations*](https://md.research.elamur.ai/free/en/papers/cabot-2020-pragmatics-behind-politics-modelling-metaphor/)
93. [**Squib: Expressive Power of Abstract Meaning Representations**Johan Bos*2016 · 62 citations*](https://md.research.elamur.ai/free/en/papers/bos-2016-squib-expressive-power-abstract-meaning/)
94. [**Learning a POS tagger for AAVE-like language**Anna Jørgensen, Dirk Hovy, Anders Søgaard*2016 · 59 citations*](https://md.research.elamur.ai/free/en/papers/jorgensen-2016-learning-pos-tagger-aave-like/)
95. [**Annotating Discourse Relations in Spoken Language: A Comparison of the PDTB and CCR Frameworks**Ines Rehbein, Merel Scholman, Vera Demberg*2016 · 59 citations*](https://md.research.elamur.ai/free/en/papers/rehbein-2016-annotating-discourse-relations-spoken-language/)
96. [**A Multidimensional Approach to Utterance Segmentation and Dialogue Act Classification**Jeroen Geertzen, Volha Petukhova, Harry Bunt*2007 · 55 citations*](https://md.research.elamur.ai/free/en/papers/geertzen-2007-multidimensional-approach-utterance-segmentation-dialogue/)
97. [**Towards a Multidimensional Semantics of Discourse Markers in Spoken Dialogue**Volha Petukhova, Harry Bunt*2009 · 54 citations*](https://md.research.elamur.ai/free/en/papers/petukhova-2009-multidimensional-semantics-discourse-markers-spoken/)
98. [**Overview of the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies**Gosse Bouma, Djamé Seddah, Daniel Zeman*2020 · 52 citations*](https://md.research.elamur.ai/free/en/papers/bouma-2020-overview-iwpt-2020-shared-task/)
99. [**The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue**Janosch Haber, Tim Baumgärtner, Ece Takmaz, et al.*2019 · 51 citations*](https://md.research.elamur.ai/free/en/papers/haber-2019-photobook-dataset-building-common-ground/)
100. [**Artificial intelligence based writer identification generates new evidence for the unknown scribes of the Dead Sea Scrolls exemplified by the Great Isaiah Scroll (1QIsaᵃ)**Mladen Popovic, Maruf A. Dhali, Lambert Schomaker*2020 · 51 citations*](https://md.research.elamur.ai/free/en/papers/popovic-2020-artificial-intelligence-based-writer-identification/)

**1** [2](https://md.research.elamur.ai/free/en/countries/netherlands/works/page/2/) [3](https://md.research.elamur.ai/free/en/countries/netherlands/works/page/3/) [next →](https://md.research.elamur.ai/free/en/countries/netherlands/works/page/2/)

- [← back to](https://md.research.elamur.ai/free/en/countries/netherlands/) — Netherlands