---
title: "Rhine-Ruhr — works of 2017: 8 papers, the most cited first"
description: "8 works of Rhine-Ruhr from 2017 in our library, the most cited first. Among them: Findings of the VarDial Evaluation Campaign 2017…"
canonical: "https://research.elamur.ai/free/en/agglomerations/rhine-ruhr/year/2017/"
---
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# Works of Rhine-Ruhr from 2017

8 works · the most cited first · [← Rhine-Ruhr](https://md.research.elamur.ai/free/en/agglomerations/rhine-ruhr/)

1. **[Findings of the VarDial Evaluation Campaign 2017](https://md.research.elamur.ai/free/en/papers/zampieri-2017-findings-vardial-evaluation-campaign/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Marcos Zampieri, Shervin Malmasi, Nikola Ljubešić, et al.*2017 · 261 citations*
2. **[The PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions](https://md.research.elamur.ai/free/en/papers/savary-2017-parseme-shared-task-automatic-identification/) [Workshop on Multiword Expressions (MWE)](https://md.research.elamur.ai/free/en/venues/mwe/)**Agata Savary, Carlos Ramisch, Silvio Cordeiro, et al.*2017 · 205 citations*
3. [**A Neural Architecture for Dialectal Arabic Segmentation**Younes Samih, Mohammed Attia, Mohamed Eldesouki, et al.*2017 · 71 citations*](https://md.research.elamur.ai/free/en/papers/samih-2017-neural-architecture-dialectal-arabic-segmentation/)
4. **[Arabic Dialect Identification Using iVectors and ASR Transcripts](https://md.research.elamur.ai/free/en/papers/malmasi-2017-arabic-dialect-identification-ivectors-asr/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Shervin Malmasi, Marcos Zampieri*2017 · 53 citations*
5. [**Learning attention for historical text normalization by learning to pronounce**Marcel Bollmann, Joachim Bingel, Anders Søgaard*2017 · 47 citations*](https://md.research.elamur.ai/free/en/papers/bollmann-2017-learning-attention-historical-text-normalization/)
6. **[Concept-Map-Based Multi-Document Summarization using Concept Coreference Resolution and Global Importance Optimization](https://md.research.elamur.ai/free/en/papers/falke-2017-concept-map-based-multi-document/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Tobias Falke, Christian M. Meyer, Iryna Gurevych*2017 · 43 citations*
7. **[Learning from Relatives: Unified Dialectal Arabic Segmentation](https://md.research.elamur.ai/free/en/papers/samih-2017-learning-relatives-unified-dialectal-arabic/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Younes Samih, Mohamed Eldesouki, Mohammed Attia, et al.*2017 · 37 citations*
8. **[Speech, Texts, and Choices from the Modal System: Mood Distribution in Old English Sermons](https://md.research.elamur.ai/free/en/papers/rutten-2017-speech-texts-choices-modal-system/) [Nordic Journal of English Studies](https://md.research.elamur.ai/free/en/venues/nordic-journal-of-english-studies/)**Tanja Rütten*2017 · 1 citation*
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