--- title: "Who cites Noam Slonim" description: "356 papers of the Elamur Research library cite the works of Noam Slonim, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/noam-slonim/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/noam-slonim/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Noam Slonim](https://md.research.elamur.ai/free/en/authors/noam-slonim/) / cited by # Who cites Noam Slonim 466 citations of their works from 356 papers of our library (of the 140 884 whose bibliographies we read) · 20 with a page here, the most cited first · [← Noam Slonim](https://md.research.elamur.ai/free/en/authors/noam-slonim/) - [Parsing Argumentation Structures in Persuasive Essays](https://md.research.elamur.ai/free/en/papers/stab-2017-parsing-argumentation-structures-persuasive-essays/) — Christian Stab, Iryna Gurevych · 2017 · 613 citations - [Argument Mining: A Survey](https://md.research.elamur.ai/free/en/papers/lawrence-2019-argument-mining-survey/) — John Lawrence, Chris Reed · 2019 · 601 citations - [Computational Argumentation Quality Assessment in Natural Language](https://md.research.elamur.ai/free/en/papers/wachsmuth-2017-computational-argumentation-quality-assessment-natural/) — Henning Wachsmuth, Nona Naderi, Yufang Hou, et al. · 2017 · 306 citations - [Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense](https://md.research.elamur.ai/free/en/papers/krishna-2023-paraphrasing-evades-detectors-ai-generated/) — Kalpesh Krishna, Yixiao Song, Marzena Karpinska, et al. · 2023 · 304 citations - [Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM](https://md.research.elamur.ai/free/en/papers/habernal-2016-which-argument-is-more-convincing/) — Ivan Habernal, Iryna Gurevych · 2016 · 302 citations - [Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection](https://md.research.elamur.ai/free/en/papers/rinott-2015-show-me-your-evidence-automatic/) — Ruty Rinott, Lena Dankin, Carlos Alzate Perez, et al. · 2015 · 296 citations - [Context Dependent Claim Detection](https://md.research.elamur.ai/free/en/papers/levy-2014-context-dependent-claim-detection/) — Ran Levy, Yonatan Bilu, Daniel Hershcovich, et al. · 2014 · 268 citations - [Neural End-to-End Learning for Computational Argumentation Mining](https://md.research.elamur.ai/free/en/papers/eger-2017-neural-end-end-learning-computational/) — Steffen Eger, Johannes Daxenberger, Iryna Gurevych · 2017 · 263 citations - [Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model](https://md.research.elamur.ai/free/en/papers/ustun-2024-aya-model-instruction-finetuned-open/) — Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al. · 2024 · 245 citations - [Argumentation Mining in User-Generated Web Discourse](https://md.research.elamur.ai/free/en/papers/habernal-2017-argumentation-mining-user-generated-web/) — Ivan Habernal, Iryna Gurevych · 2017 · 243 citations - [Classification and Clustering of Arguments with Contextualized Word Embeddings](https://md.research.elamur.ai/free/en/papers/reimers-2019-classification-clustering-arguments-contextualized-word/) — Nils Reimers, Benjamin Schiller, Tilman Beck, et al. · 2019 · 239 citations - [Cross-topic Argument Mining from Heterogeneous Sources](https://md.research.elamur.ai/free/en/papers/stab-2018-cross-topic-argument-mining-heterogeneous/) — Christian Stab, Tristan Miller, Benjamin Schiller, et al. · 2018 · 228 citations - [Retrieval of the Best Counterargument without Prior Topic Knowledge](https://md.research.elamur.ai/free/en/papers/wachsmuth-2018-retrieval-best-counterargument-without-prior/) — Henning Wachsmuth, Shahbaz Syed, Benno Stein · 2018 · 196 citations - [Cross-Domain Label-Adaptive Stance Detection](https://md.research.elamur.ai/free/en/papers/hardalov-2021-cross-domain-label-adaptive-stance/) — Momchil Hardalov, Arnav Arora, Preslav Nakov, et al. · 2021 · 96 citations - [Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection](https://md.research.elamur.ai/free/en/papers/arakelyan-2023-topic-guided-sampling-data-efficient/) — Erik Arakelyan, Arnav Arora, Isabelle Augenstein · 2023 · 19 citations - [How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability?](https://md.research.elamur.ai/free/en/papers/srikanth-2024-how-often-are-errors-natural/) — Neha Srikanth, Marine Carpuat, Rachel Rudinger · 2024 · 10 citations - [Munazarat 1.0: A Corpus of Arabic Competitive Debates](https://md.research.elamur.ai/free/en/papers/khader-2024-munazarat-1-0-corpus-arabic/) — Mohammad M. Khader, AbdulGabbar Al-Sharafi, Mohamad Hamza Al-Sioufy, et al. · 2024 · 5 citations - [Assessing the Persuasive Effect of AI-Generated Image Support of Arguments](https://md.research.elamur.ai/free/en/papers/quadras-2026-assessing-persuasive-effect-ai-generated/) — Mackwyn Quadras, Manfred Stede, Henning Wachsmuth · 2026 - [HatePrototypes: Interpretable and Transferable Representations for Implicit and Explicit Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/proskurina-2026-hateprototypes-interpretable-transferable-representations-implicit/) — Irina Proskurina, Marc-Antoine Carpentier, Julien Velcin · 2026 - [Integrating AI into Arabic Linguistics: A Methodological Framework for Reproducible and Interpretable Research](https://md.research.elamur.ai/free/en/papers/akzam-2026-integrating-ai-arabic-linguistics-methodological/) — Ismail Akzam, Mohammad Ikhwan Bin Abdullah · 2026 336 more citing papers of our library have no page here yet.