---
title: "Who cites Steffen Remus — 139 papers of our library"
description: "139 papers of the Elamur Research library cite the works of Steffen Remus, found in their bibliographies; the most cited first."
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---
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# Who cites Steffen Remus

145 citations of their works from 139 papers of our library (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · [← Steffen Remus](https://md.research.elamur.ai/free/en/authors/steffen-remus/)

1. **[SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation](https://md.research.elamur.ai/free/en/papers/hill-2015-simlex-999-evaluating-semantic-models/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Felix Hill, Roi Reichart, Anna Korhonen*2015 · 1,634 citations*
2. **[Evaluation methods for unsupervised word embeddings](https://md.research.elamur.ai/free/en/papers/schnabel-2015-evaluation-methods-unsupervised-word-embeddings/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tobias Schnabel, Igor Labutov, David Mimno, et al.*2015 · 675 citations*
3. **[Improving Hypernymy Detection with an Integrated Path-based and Distributional Method](https://md.research.elamur.ai/free/en/papers/shwartz-2016-improving-hypernymy-detection-integrated-path/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Vered Shwartz, Yoav Goldberg, Ido Dagan*2016 · 319 citations*
4. **[HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment](https://md.research.elamur.ai/free/en/papers/vulic-2017-hyperlex-large-scale-evaluation-graded/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Ivan Vulić, Daniela Gerz, Douwe Kiela, et al.*2017 · 148 citations*
5. **[Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection](https://md.research.elamur.ai/free/en/papers/shwartz-2017-hypernyms-under-siege-linguistically-motivated/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Vered Shwartz, Enrico Santus, Dominik Schlechtweg*2017 · 144 citations*
6. **[Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora](https://md.research.elamur.ai/free/en/papers/roller-2018-hearst-patterns-revisited-automatic-hypernym/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Stephen Roller, Douwe Kiela, Maximilian Nickel*2018 · 143 citations*
7. [**Simulating Action Dynamics with Neural Process Networks arXiv:1711.05313**Antoine Bosselut, Omer Levy, Ari Holtzman, et al.*2017 · 102 citations*](https://md.research.elamur.ai/free/en/papers/bosselut-2017-simulating-action-dynamics-neural-process/)
8. **[Representing Meaning with a Combination of Logical and Distributional Models](https://md.research.elamur.ai/free/en/papers/beltagy-2016-representing-meaning-combination-logical-distributional/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**I. Beltagy, Stephen Roller, Pengxiang Cheng, et al.*2016 · 89 citations*
9. **[A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent Advances](https://md.research.elamur.ai/free/en/papers/wang-2017-short-survey-taxonomy-learning-text/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chengyu Wang, Xiaofeng He, Aoying Zhou*2017 · 87 citations*
10. **[Every Child Should Have Parents: A Taxonomy Refinement Algorithm Based on Hyperbolic Term Embeddings](https://md.research.elamur.ai/free/en/papers/aly-2019-every-child-should-have-parents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rami Aly, Shantanu Acharya, Alexander Ossa, et al.*2019 · 62 citations*
11. **[On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT](https://md.research.elamur.ai/free/en/papers/ravichander-2020-systematicity-probing-contextualized-word-representations/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Abhilasha Ravichander, Eduard Hovy, Kaheer Suleman, et al.*2020 · 55 citations*
12. [**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/)
13. **[An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference](https://md.research.elamur.ai/free/en/papers/liu-2020-empirical-study-model-agnostic-debiasing/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Tianyu Liu, Xin Zheng, Xiaoan Ding, et al.*2020 · 37 citations*
14. **[HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/liu-2020-hyponli-exploring-artificial-patterns-hypothesis/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Tianyu Liu, Xin Zheng, Baobao Chang, et al.*2020 · 28 citations*
15. [**Why we have switched from building full-fledged taxonomies to simply detecting hypernymy relations arXiv:1703.04178**Jose Camacho-Collados*2017 · 22 citations*](https://md.research.elamur.ai/free/en/papers/collados-2017-why-we-have-switched-building/)
16. **[Stress Test Evaluation of Transformer-based Models in Natural Language Understanding Tasks](https://md.research.elamur.ai/free/en/papers/aspillaga-2020-stress-test-evaluation-transformer-based/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Carlos Aspillaga, Andrés Carvallo, Vladimir Araujo*2020 · 17 citations*
17. **[Integrating Predictions from Neural-Network Relation Classifiers into Coreference and Bridging Resolution](https://md.research.elamur.ai/free/en/papers/roesiger-2018-integrating-predictions-neural-network-relation/) [Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC)](https://md.research.elamur.ai/free/en/venues/crac/)**Ina Roesiger, Maximilian Köper, Kim Anh Nguyen, et al.*2018 · 13 citations*
18. **[How Pre-trained Word Representations Capture Commonsense Physical Comparisons](https://md.research.elamur.ai/free/en/papers/goel-2019-how-pre-trained-word-representations/) [Workshop on Commonsense Inference in Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-commonsense-inference-in-natural-language-processing/)**Pranav Goel, Shi Feng, Jordan Boyd-Graber*2019 · 12 citations*
19. [**The Validity of Coreference-based Evaluations of Natural Language Understanding arXiv:2602.16200**Ian Porada*2026*](https://md.research.elamur.ai/free/en/papers/porada-2026-validity-coreference-based-evaluations-natural/)
20. **[Towards a Gold Standard for Adjectival Hypernymy: Enriching the Open English WordNet with a Hybrid Approach](https://md.research.elamur.ai/free/en/papers/augello-2026-gold-standard-adjectival-hypernymy-enriching/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Lorenzo Augello, John P. McCrae, Marco Passarotti*2026*

119 more citing papers of our library have no page here yet.

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