---
title: "Randstad — works of 2017: 11 papers, the most cited first"
description: "11 works of Randstad from 2017 in our library, the most cited first. Among them: Encoding Sentences with Graph Convolutional Networks for…"
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# Works of Randstad from 2017

11 works · the most cited first · [← Randstad](https://md.research.elamur.ai/free/en/agglomerations/randstad/)

1. **[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*
2. **[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*
3. **[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*
4. **[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*
5. **[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*
6. **[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*
7. **[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*
8. [**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/)
9. [**Changes of Syntactic Patterns in the Textual Tradition of the Book of Isaiah: A Corpus-Linguistic Approach**Reinoud Oosting*2017 · 2 citations*](https://md.research.elamur.ai/free/en/papers/oosting-2017-changes-syntactic-patterns-textual-tradition/)
10. [**The Corpus as Tutor: Data-driven Persuasive Language Learning**Nicolai Winther-Nielsen*2017 · 1 citation*](https://md.research.elamur.ai/free/en/papers/winther-nielsen-2017-corpus-tutor-data-driven-persuasive/)
11. [**Corpus-driven visualization, learning and linguistics**Nicolai Winther-Nielsen*2017*](https://md.research.elamur.ai/free/en/papers/winther-nielsen-2017-corpus-driven-visualization-learning-linguistics/)
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