--- title: "Benno Stein — papers" description: "Benno Stein: 7 papers in the Elamur Research library (2017–2026) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/benno-stein/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/benno-stein/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Benno Stein # Benno Stein 7 papers on this site (2017–2026) [OpenAlex](https://openalex.org/A5027915931) · [ORCID](https://orcid.org/0000-0001-9033-2217) · h-index 55 · 577 works · 11979 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [SKILL-IR-Discourse: A Large, Annotated Corpus of Argumentation and Domain Discourse on International Relations](https://md.research.elamur.ai/free/en/papers/wolska-2026-skill-ir-discourse-large-annotated/) — Magdalena Wolska, Matti Wiegmann, Sassan Gholiagha, et al. · 2026 - [SemEval-2019 Task 4: Hyperpartisan News Detection](https://md.research.elamur.ai/free/en/papers/kiesel-2019-semeval-2019-task-4-hyperpartisan/) — Johannes Kiesel, Maria Mestre, Rishabh Shukla, et al. · 2019 - [A Stylometric Inquiry into Hyperpartisan and Fake News](https://md.research.elamur.ai/free/en/papers/potthast-2018-stylometric-inquiry-into-hyperpartisan-fake/) — Martin Potthast, Johannes Kiesel, Kevin Reinartz, et al. · 2018 - [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 - [The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants](https://md.research.elamur.ai/free/en/papers/habernal-2018-argument-reasoning-comprehension-task-identification/) — Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, et al. · 2018 - [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 - [TL;DR: Mining Reddit to Learn Automatic Summarization](https://md.research.elamur.ai/free/en/papers/volske-2017-tl-dr-mining-reddit-learn/) — Michael Völske, Martin Potthast, Shahbaz Syed, et al. · 2017