🧑‍🔬 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

1. SimLex-999: Evaluating Semantic Models With (Genuine) Similarity EstimationComputational LinguisticsFelix Hill, Roi Reichart, Anna Korhonen2015 · 1,634 citations
2. Evaluation methods for unsupervised word embeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Tobias Schnabel, Igor Labutov, David Mimno, et al.2015 · 675 citations
3. Improving Hypernymy Detection with an Integrated Path-based and Distributional MethodAnnual Meeting of the Association for Computational Linguistics (ACL)Vered Shwartz, Yoav Goldberg, Ido Dagan2016 · 319 citations
4. HyperLex: A Large-Scale Evaluation of Graded Lexical EntailmentComputational LinguisticsIvan Vulić, Daniela Gerz, Douwe Kiela, et al.2017 · 148 citations
5. Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Vered Shwartz, Enrico Santus, Dominik Schlechtweg2017 · 144 citations
6. Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text CorporaAnnual Meeting of the Association for Computational Linguistics (ACL)Stephen Roller, Douwe Kiela, Maximilian Nickel2018 · 143 citations
7. Simulating Action Dynamics with Neural Process NetworksarXiv:1711.05313Antoine Bosselut, Omer Levy, Ari Holtzman, et al.2017 · 102 citations
8. Representing Meaning with a Combination of Logical and Distributional ModelsComputational LinguisticsI. Beltagy, Stephen Roller, Pengxiang Cheng, et al.2016 · 89 citations
9. A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent AdvancesConference on Empirical Methods in Natural Language Processing (EMNLP)Chengyu Wang, Xiaofeng He, Aoying Zhou2017 · 87 citations
10. Every Child Should Have Parents: A Taxonomy Refinement Algorithm Based on Hyperbolic Term EmbeddingsAnnual Meeting of the Association for Computational Linguistics (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 BERTJoint Conference on Lexical and Computational Semantics (*SEM)Abhilasha Ravichander, Eduard Hovy, Kaheer Suleman, et al.2020 · 55 citations
12. Lexical Features in Coreference Resolution: To be Used With CautionNafise Sadat Moosavi, Michael Strube2017 · 54 citations
13. An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language InferenceConference on Computational Natural Language Learning (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 InferenceLanguage Resources and Evaluation Conference (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 relationsarXiv:1703.04178Jose Camacho-Collados2017 · 22 citations
16. Stress Test Evaluation of Transformer-based Models in Natural Language Understanding TasksLanguage Resources and Evaluation Conference (LREC)Carlos Aspillaga, Andrés Carvallo, Vladimir Araujo2020 · 17 citations
17. Integrating Predictions from Neural-Network Relation Classifiers into Coreference and Bridging ResolutionWorkshop on Computational Models of Reference, Anaphora and Coreference (CRAC)Ina Roesiger, Maximilian Köper, Kim Anh Nguyen, et al.2018 · 13 citations
18. How Pre-trained Word Representations Capture Commonsense Physical ComparisonsWorkshop on Commonsense Inference in Natural Language ProcessingPranav Goel, Shi Feng, Jordan Boyd-Graber2019 · 12 citations
19. The Validity of Coreference-based Evaluations of Natural Language UnderstandingarXiv:2602.16200Ian Porada2026
20. Towards a Gold Standard for Adjectival Hypernymy: Enriching the Open English WordNet with a Hybrid ApproachLanguage Resources and Evaluation Conference (LREC)Lorenzo Augello, John P. McCrae, Marco Passarotti2026

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