---
title: "Rhine-Neckar — works of 2017: 9 papers, the most cited first"
description: "9 works of Rhine-Neckar from 2017 in our library, the most cited first. Among them: An Unsupervised Neural Attention Model for Aspect…"
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---
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# Works of Rhine-Neckar from 2017

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

1. **[An Unsupervised Neural Attention Model for Aspect Extraction](https://md.research.elamur.ai/free/en/papers/he-2017-unsupervised-neural-attention-model-aspect/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruidan He, Wee Sun Lee, Hwee Tou Ng, et al.*2017 · 473 citations*
2. **[Exploring Neural Text Simplification Models](https://md.research.elamur.ai/free/en/papers/nisioi-2017-exploring-neural-text-simplification-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sergiu Nisioi, Sanja Štajner, Simone Paolo Ponzetto, et al.*2017 · 353 citations*
3. **[Nematus: a Toolkit for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/sennrich-2017-nematus-toolkit-neural-machine-translation/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Rico Sennrich, Orhan Firat, Kyunghyun Cho, et al.*2017 · 206 citations*
4. **[Dynamic Entity Representations in Neural Language Models](https://md.research.elamur.ai/free/en/papers/ji-2017-dynamic-entity-representations-neural-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yangfeng Ji, Chenhao Tan, Sebastian Martschat, et al.*2017 · 141 citations*
5. [**Lexical Features in Coreference Resolution: To be Used With Caution**Nafise Sadat Moosavi, Michael Strube*2017 · 54 citations*](https://md.research.elamur.ai/free/en/papers/moosavi-2017-lexical-features-coreference-resolution-be/)
6. [**A Mention-Ranking Model for Abstract Anaphora Resolution**Ana Marasović, Leo Born, Juri Opitz, et al.*2017 · 43 citations*](https://md.research.elamur.ai/free/en/papers/marasovic-2017-mention-ranking-model-abstract-anaphora/)
7. [**Comparing Rule-based and SMT-based Spelling Normalisation for English Historical Texts**Gerold Schneider, Eva Pettersson, Michael Percillier*2017 · 15 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2017-comparing-rule-based-smt-based/)
8. **[Revisiting Selectional Preferences for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/heinzerling-2017-revisiting-selectional-preferences-coreference-resolution/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Benjamin Heinzerling, Nafise Sadat Moosavi, Michael Strube*2017 · 14 citations*
9. [**Postcolonial Literature and World Englishes: A Corpus-Based Approach of Modes of Representation of the Non-Standard in Writing International Journal of Literary Linguistics 6**Michael Percillier, Catherine Paulin*2017 · 5 citations*](https://md.research.elamur.ai/free/en/papers/percillier-2017-postcolonial-literature-world-englishes-corpus/)
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