---
title: "Randstad — works: 162 in our library, the most cited first"
description: "Works of Randstad: 162 in our library · page 1 of 2, the most cited first. Among them: SciPy 1.0 — Fundamental Algorithms for Scientific…"
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# Works of Randstad

162 · page 1 of 2 · the most cited first · [← Randstad](https://md.research.elamur.ai/free/en/agglomerations/randstad/)

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1. [**SciPy 1.0 — Fundamental Algorithms for Scientific Computing in Python arXiv:1907.10121 (Nature Methods 17, 261 (2020))**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 arXiv:1312.6114**Diederik P Kingma, Max Welling*2013 · 15,018 citations*](https://md.research.elamur.ai/free/en/papers/kingma-2013-auto-encoding-variational-bayes/)
3. [**Semi-Supervised Classification with Graph Convolutional Networks arXiv:1609.02907**Thomas N. Kipf, Max Welling*2016 · 8,826 citations*](https://md.research.elamur.ai/free/en/papers/kipf-2016-semi-supervised-classification-graph-convolutional/)
4. [**Multitask Prompted Training Enables Zero-Shot Task Generalization arXiv:2110.08207**Victor Sanh, Albert Webson, Colin Raffel, et al.*2021 · 1,581 citations*](https://md.research.elamur.ai/free/en/papers/sanh-2021-multitask-prompted-training-enables-zero/)
5. **[Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned](https://md.research.elamur.ai/free/en/papers/voita-2019-analyzing-multi-head-self-attention/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Elena Voita, David Talbot, Fedor Moiseev, et al.*2019 · 1,520 citations*
6. **[Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/marcheggiani-2017-encoding-sentences-graph-convolutional-networks/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Diego Marcheggiani, Ivan Titov*2017 · 1,104 citations*
7. **[Quantifying Attention Flow in Transformers](https://md.research.elamur.ai/free/en/papers/abnar-2020-quantifying-attention-flow-transformers/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Samira Abnar, Willem Zuidema*2020 · 1,051 citations*
8. **[Findings of the 2016 Conference on Machine Translation](https://md.research.elamur.ai/free/en/papers/bojar-2016-findings-2016-conference-machine-translation/) [Conference on Machine Translation: Shared Task Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-shared-task-papers/)**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2016 · 938 citations*
9. **[Findings of the 2019 Conference on Machine Translation (WMT19)](https://md.research.elamur.ai/free/en/papers/barrault-2019-findings-2019-conference-machine-translation/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Loïc Barrault, Ondřej Bojar, Marta R. Costa-jussà, et al.*2019 · 841 citations*
10. **[Findings of the 2018 Conference on Machine Translation (WMT18)](https://md.research.elamur.ai/free/en/papers/bojar-2018-findings-2018-conference-machine-translation/) [Conference on Machine Translation: Shared Task Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-shared-task-papers/)**Ondřej Bojar, Christian Federmann, Mark Fishel, et al.*2018 · 750 citations*
11. [**The stages of event extraction Proceedings of the Workshop on Annotating and Reasoning about Time and Events**David Ahn*2006 · 704 citations*](https://md.research.elamur.ai/free/en/papers/ahn-2006-stages-event-extraction/)
12. **[Findings of the 2017 Conference on Machine Translation (WMT17)](https://md.research.elamur.ai/free/en/papers/bojar-2017-findings-2017-conference-machine-translation/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2017 · 689 citations*
13. **[KILT: a Benchmark for Knowledge Intensive Language Tasks](https://md.research.elamur.ai/free/en/papers/petroni-2020-kilt-benchmark-knowledge-intensive-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Fabio Petroni, Aleksandra Piktus, Angela Fan, et al.*2020 · 665 citations*
14. **[Results of the WNUT2017 Shared Task on Novel and Emerging Entity Recognition](https://md.research.elamur.ai/free/en/papers/derczynski-2017-results-wnut2017-shared-task-novel/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Leon Derczynski, Eric Nichols, Marieke van Erp, et al.*2017 · 536 citations*
15. **[The LAMBADA dataset: Word prediction requiring a broad discourse context](https://md.research.elamur.ai/free/en/papers/paperno-2016-lambada-dataset-word-prediction-requiring/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, et al.*2016 · 511 citations*
16. **[Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents](https://md.research.elamur.ai/free/en/papers/sun-2023-chatgpt-good-search-investigating-large/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Weiwei Sun, Lingyong Yan, Xinyu Ma, et al.*2023 · 494 citations*
17. **[Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation](https://md.research.elamur.ai/free/en/papers/zhang-2020-improving-massively-multilingual-neural-machine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Biao Zhang, Philip Williams, Ivan Titov, et al.*2020 · 474 citations*
18. **[Findings of the 2015 Workshop on Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/bojar-2015-findings-2015-workshop-statistical-machine/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2015 · 462 citations*
19. **[Context-Aware Neural Machine Translation Learns Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/voita-2018-context-aware-neural-machine-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Elena Voita, Pavel Serdyukov, Rico Sennrich, et al.*2018 · 448 citations*
20. **[Findings of the 2013 Workshop on Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/bojar-2013-findings-2013-workshop-statistical-machine/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Ondřej Bojar, Christian Buck, Chris Callison-Burch, et al.*2013 · 443 citations*
21. **[Neural versus Phrase-Based Machine Translation Quality: a Case Study](https://md.research.elamur.ai/free/en/papers/bentivogli-2016-neural-versus-phrase-based-machine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Luisa Bentivogli, Arianna Bisazza, Mauro Cettolo, et al.*2016 · 437 citations*
22. **[Data Augmentation for Low-Resource Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/fadaee-2017-data-augmentation-low-resource-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Marzieh Fadaee, Arianna Bisazza, Christof Monz*2017 · 423 citations*
23. **[Findings of the 2020 Conference on Machine Translation (WMT20)](https://md.research.elamur.ai/free/en/papers/barrault-2020-findings-2020-conference-machine-translation/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Loïc Barrault, Magdalena Biesialska, Ondřej Bojar, et al.*2020 · 401 citations*
24. [**Long Range Arena: A Benchmark for Efficient Transformers arXiv:2011.04006**Yi Tay, Mostafa Dehghani, Samira Abnar, et al.*2020 · 399 citations*](https://md.research.elamur.ai/free/en/papers/tay-2020-long-range-arena-benchmark-efficient/)
25. **[BPE-Dropout: Simple and Effective Subword Regularization](https://md.research.elamur.ai/free/en/papers/provilkov-2020-bpe-dropout-simple-effective-subword/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ivan Provilkov, Dmitrii Emelianenko, Elena Voita*2020 · 389 citations*
26. [**Truth Is a Lie: Crowd Truth and the Seven Myths of Human Annotation AI Magazine**Lora M. Aroyo, Chris Welty*2015 · 385 citations*](https://md.research.elamur.ai/free/en/papers/aroyo-2015-truth-lie-crowd-truth-seven/)
27. **[A Shared Task on Multimodal Machine Translation and Crosslingual Image Description](https://md.research.elamur.ai/free/en/papers/specia-2016-shared-task-multimodal-machine-translation/) [Conference on Machine Translation: Shared Task Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-shared-task-papers/)**Lucia Specia, Stella Frank, Khalil Sima'an, et al.*2016 · 353 citations*
28. **[Information-Theoretic Probing with Minimum Description Length](https://md.research.elamur.ai/free/en/papers/voita-2020-information-theoretic-probing-minimum-description/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Elena Voita, Ivan Titov*2020 · 340 citations*
29. **[When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion](https://md.research.elamur.ai/free/en/papers/voita-2019-when-good-translation-is-wrong/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Elena Voita, Rico Sennrich, Ivan Titov*2019 · 321 citations*
30. **[Computational Sociolinguistics: A Survey](https://md.research.elamur.ai/free/en/papers/nguyen-2016-computational-sociolinguistics-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Dong Nguyen, A. Seza Doğruöz, Carolyn P. Rosé, et al.*2016 · 287 citations*
31. **[Using a sledgehammer to crack a nut? Lexical diversity and event coreference resolution](https://md.research.elamur.ai/free/en/papers/cybulska-2014-sledgehammer-crack-nut-lexical-diversity/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Agata Cybulska, Piek Vossen*2014 · 246 citations*
32. **[Analysing Lexical Semantic Change with Contextualised Word Representations](https://md.research.elamur.ai/free/en/papers/giulianelli-2020-analysing-lexical-semantic-change-contextualised/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mario Giulianelli, Marco Del Tredici, Raquel Fernández*2020 · 239 citations*
33. **[Humanity's Last Exam](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/) [Nature](https://md.research.elamur.ai/free/en/venues/nature/)**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*
34. [**ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning arXiv:2304.06588**Petter Tornberg*2023 · 231 citations*](https://md.research.elamur.ai/free/en/papers/tornberg-2023-chatgpt-4-outperforms-experts-crowd/)
35. **[Open-Domain Question Answering Goes Conversational via Question Rewriting](https://md.research.elamur.ai/free/en/papers/anantha-2021-open-domain-question-answering-goes/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu, et al.*2021 · 228 citations*
36. **[Findings of the Third Shared Task on Multimodal Machine Translation](https://md.research.elamur.ai/free/en/papers/barrault-2018-findings-third-shared-task-multimodal/) [Conference on Machine Translation: Shared Task Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-shared-task-papers/)**Loïc Barrault, Fethi Bougares, Lucia Specia, et al.*2018 · 227 citations*
37. **[The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives](https://md.research.elamur.ai/free/en/papers/voita-2019-bottom-up-evolution-representations-transformer/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Elena Voita, Rico Sennrich, Ivan Titov*2019 · 223 citations*
38. **[Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing](https://md.research.elamur.ai/free/en/papers/ponti-2019-modeling-language-variation-universals-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Edoardo Maria Ponti, Helen O'Horan, Yevgeni Berzak, et al.*2019 · 217 citations*
39. **[Results of the WMT17 Metrics Shared Task](https://md.research.elamur.ai/free/en/papers/bojar-2017-results-wmt17-metrics-shared-task/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Ondřej Bojar, Yvette Graham, Amir Kamran*2017 · 212 citations*
40. **[Semantic-Head-Driven Generation](https://md.research.elamur.ai/free/en/papers/shieber-1990-semantic-head-driven-generation/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Stuart M. Shieber, Gertjan van Noord, Fernando C. N. Pereira, et al.*1990 · 205 citations*
41. **[HateCheck: Functional Tests for Hate Speech Detection Models](https://md.research.elamur.ai/free/en/papers/rottger-2021-hatecheck-functional-tests-hate-speech/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Paul Röttger, Bertie Vidgen, Dong Nguyen, et al.*2021 · 203 citations*
42. **[The emergence of number and syntax units in LSTM language models](https://md.research.elamur.ai/free/en/papers/lakretz-2019-emergence-number-syntax-units-lstm/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yair Lakretz, German Kruszewski, Theo Desbordes, et al.*2019 · 194 citations*
43. **[Graph Convolutional Encoders for Syntax-aware Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/bastings-2017-graph-convolutional-encoders-syntax-aware/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jasmijn Bastings, Ivan Titov, Wilker Aziz, et al.*2017 · 192 citations*
44. **[Disfluencies as intra-utterance dialogue moves](https://md.research.elamur.ai/free/en/papers/ginzburg-2014-disfluencies-as-intra-utterance-dialogue/) [Semantics and Pragmatics](https://md.research.elamur.ai/free/en/venues/semantics-and-pragmatics/)**Jonathan Ginzburg, Raquel Fernández, David Schlangen*2014 · 191 citations*
45. **[Results of the WMT16 Metrics Shared Task](https://md.research.elamur.ai/free/en/papers/bojar-2016-results-wmt16-metrics-shared-task/) [Conference on Machine Translation: Shared Task Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-shared-task-papers/)**Ondřej Bojar, Yvette Graham, Amir Kamran, et al.*2016 · 177 citations*
46. **[Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet](https://md.research.elamur.ai/free/en/papers/kocmi-2024-findings-wmt24-general-machine-translation/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, et al.*2024 · 177 citations*
47. **[Unsupervised Opinion Summarization as Copycat-Review Generation](https://md.research.elamur.ai/free/en/papers/brazinskas-2020-unsupervised-opinion-summarization-as-copycat/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Arthur Bražinskas, Mirella Lapata, Ivan Titov*2020 · 173 citations*
48. [**PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts arXiv:2202.01279**Stephen H. Bach, Victor Sanh, Zheng-Xin Yong, et al.*2022 · 167 citations*](https://md.research.elamur.ai/free/en/papers/bach-2022-promptsource-integrated-development-environment-repository/)
49. **[A Report on the 2018 VUA Metaphor Detection Shared Task](https://md.research.elamur.ai/free/en/papers/leong-2018-report-2018-vua-metaphor-detection/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Chee Wee (Ben) Leong, Beata Beigman Klebanov, Ekaterina Shutova*2018 · 167 citations*
50. **[Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/eikema-2020-is-map-decoding-all-you/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Bryan Eikema, Wilker Aziz*2020 · 165 citations*
51. **[Context-Aware Monolingual Repair for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/voita-2019-context-aware-monolingual-repair-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Elena Voita, Rico Sennrich, Ivan Titov*2019 · 161 citations*
52. **[Introducing CAD: the Contextual Abuse Dataset](https://md.research.elamur.ai/free/en/papers/vidgen-2021-introducing-cad-contextual-abuse-dataset/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Bertie Vidgen, Dong Nguyen, Helen Margetts, et al.*2021 · 147 citations*
53. **[UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/oguz-2022-unik-qa-unified-representations-structured/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Barlas Oguz, Xilun Chen, Vladimir Karpukhin, et al.*2022 · 146 citations*
54. **[Question Answering by Reasoning Across Documents with Graph Convolutional Networks](https://md.research.elamur.ai/free/en/papers/cao-2019-question-answering-reasoning-across-documents/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Nicola De Cao, Wilker Aziz, Ivan Titov*2019 · 136 citations*
55. **[You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings](https://md.research.elamur.ai/free/en/papers/talat-2022-you-reap-what-you-sow/) [BigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language Models](https://md.research.elamur.ai/free/en/venues/bigscience/)**Zeerak Talat, Aurélie Névéol, Stella Biderman, et al.*2022 · 130 citations*
56. **[Interpretable Neural Predictions with Differentiable Binary Variables](https://md.research.elamur.ai/free/en/papers/bastings-2019-interpretable-neural-predictions-differentiable-binary/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jasmijn Bastings, Wilker Aziz, Ivan Titov*2019 · 127 citations*
57. **[A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/muller-2018-large-scale-test-set-evaluation/) [Conference on Machine Translation: Research Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-research-papers/)**Mathias Müller, Annette Rios, Elena Voita, et al.*2018 · 123 citations*
58. [**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/)
59. **[Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/dankers-2022-can-transformer-be-too-compositional/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Verna Dankers, Christopher Lucas, Ivan Titov*2022 · 105 citations*
60. **[MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing](https://md.research.elamur.ai/free/en/papers/oepen-2020-mrp-2020-second-shared-task/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Stephan Oepen, Omri Abend, Lasha Abzianidze, et al.*2020 · 101 citations*
61. **[Inseq: An Interpretability Toolkit for Sequence Generation Models](https://md.research.elamur.ai/free/en/papers/sarti-2023-inseq-interpretability-toolkit-sequence-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gabriele Sarti, Nils Feldhus, Ludwig Sickert, et al.*2023 · 96 citations*
62. **[Dynamic Data Selection for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wees-2017-dynamic-data-selection-neural-machine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Marlies van der Wees, Arianna Bisazza, Christof Monz*2017 · 96 citations*
63. **[A Rule Based Approach to Discourse Parsing](https://md.research.elamur.ai/free/en/papers/polanyi-2004-rule-based-approach-discourse-parsing/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Livia Polanyi, Chris Culy, Martin van den Berg, et al.*2004 · 94 citations*
64. **[Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models](https://md.research.elamur.ai/free/en/papers/qi-2023-cross-lingual-consistency-factual-knowledge/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jirui Qi, Raquel Fernández, Arianna Bisazza*2023 · 90 citations*
65. [**A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling**Diego Marcheggiani, Anton Frolov, Ivan Titov*2017 · 87 citations*](https://md.research.elamur.ai/free/en/papers/marcheggiani-2017-simple-accurate-syntax-agnostic-neural/)
66. **[MasakhaNEWS: News Topic Classification for African languages](https://md.research.elamur.ai/free/en/papers/adelani-2023-masakhanews-news-topic-classification-african/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**David Ifeoluwa Adelani, Marek Masiak, Israel Abebe Azime, et al.*2023 · 81 citations*
67. **[Translating Granularity of Event Slots into Features for Event Coreference Resolution.](https://md.research.elamur.ai/free/en/papers/cybulska-2015-translating-granularity-event-slots-into/) [Workshop on EVENTS: Definition, Detection, Coreference, and Representation](https://md.research.elamur.ai/free/en/venues/workshop-on-events-definition-detection-coreference-and-representation/)**Agata Cybulska, Piek Vossen*2015 · 75 citations*
68. **[Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test Sets](https://md.research.elamur.ai/free/en/papers/kocmi-2025-findings-wmt25-general-machine-translation/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Tom Kocmi, Ekaterina Artemova, Eleftherios Avramidis, et al.*2025 · 73 citations*
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