---
title: "Saarbrücken — works of 2019: 9 papers, the most cited first"
description: "9 works of Saarbrücken from 2019 in our library, the most cited first. Among them: SciPy 1.0 — Fundamental Algorithms for Scientific…"
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---
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# Works of Saarbrücken from 2019

9 works · the most cited first · [← Saarbrücken](https://md.research.elamur.ai/free/en/agglomerations/saarbrucken/)

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 · 38,334 citations*](https://md.research.elamur.ai/free/en/papers/virtanen-2019-scipy-1-0-fundamental-algorithms/)
2. **[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 · 847 citations*
3. [**75 Languages, 1 Model: Parsing Universal Dependencies Universally**Dan Kondratyuk, Milan Straka*2019 · 415 citations*](https://md.research.elamur.ai/free/en/papers/kondratyuk-2019-75-languages-1-model-parsing/)
4. **[Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains](https://md.research.elamur.ai/free/en/papers/shi-2019-next-sentence-prediction-helps-implicit/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wei Shi, Vera Demberg*2019 · 134 citations*
5. **[Crowdsourcing Discourse Relation Annotations by a Two-Step Connective Insertion Task](https://md.research.elamur.ai/free/en/papers/yung-2019-crowdsourcing-discourse-relation-annotations-two/) [Linguistic Annotation Workshop (LAW)](https://md.research.elamur.ai/free/en/venues/law/)**Frances Yung, Vera Demberg, Merel Scholman*2019 · 39 citations*
6. **[How compatible are our discourse annotation frameworks? Insights from mapping RST-DT and PDTB annotations](https://md.research.elamur.ai/free/en/papers/demberg-2019-how-compatible-are-our-discourse/) [Dialogue & Discourse](https://md.research.elamur.ai/free/en/venues/dnd/)**Vera Demberg, Merel C.J. Scholman, Fatemeh Torabi Asr*2019 · 36 citations*
7. **[Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/shi-2019-learning-explicitate-connectives-seq2seq-network/) [International Conference on Computational Semantics – Long Papers](https://md.research.elamur.ai/free/en/venues/international-conference-on-computational-semantics-long-papers/)**Wei Shi, Vera Demberg*2019 · 36 citations*
8. **[Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/shi-2019-acquiring-annotated-data-cross-lingual/) [Workshop on Discourse Relation Parsing and Treebanking](https://md.research.elamur.ai/free/en/venues/workshop-on-discourse-relation-parsing-and-treebanking/)**Wei Shi, Frances Yung, Vera Demberg*2019 · 11 citations*
9. **[Grammar and Meaning: Analysing the Topology of Diachronic Word Embeddings](https://md.research.elamur.ai/free/en/papers/bizzoni-2019-grammar-meaning-analysing-topology-diachronic/) [Proceedings for the International Workshop on Computational Approaches to Language Change](https://md.research.elamur.ai/free/en/venues/lchange/)**Yuri Bizzoni, Stefania Degaetano-Ortlieb, Katrin Menzel, et al.*2019 · 9 citations*
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