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Claudia Schulz

Claudia Schulz has 3 papers in our library, in 2018–2019, most of them on Reasoning; often with Iryna Gurevych, Andreas Hanselowski, Zile Li.

3 papers in our library · 2018–2019

OpenAlex · ORCID · Wikidata · h-index 13 · 55 works · 833 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 213 citations in our library · 1 more in our library without a page yet · ⭐ Paper Star rank #3195

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢Thomson ReutersNew York · United States2023–2024 · 2 paperscurrent🎓Technische Universität DarmstadtDarmstadt · Germany2017–2022 · 20 papers🎓Imperial College LondonLondon · United Kingdom2014–2019 · 17 papers🏥Babylon HealthLondon · United Kingdom2020 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 8 Arts and Humanities · 3 works Computer Science · 3 works Artificial Intelligence · 3 works Language and Linguistics · 3 works Social Sciences · 2 works Sociology and Political Science · 2 works Computer Vision and Pattern Recognition · 1 work Information Systems · 1 work

🧭 Topics 1 Reasoning · 1 work

 Works by year

2010s

20192 papers20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification (2018 · 258 citations)
    The paper describes UKP-Athene, the team's entry to the FEVER shared task, which ranked third of 23 systems in preliminary results.
  2. A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking (2019 · 147 citations)
    Training machine learning systems for automated fact-checking requires large, reliably annotated data covering the whole verification pipeline.
  3. Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems (2019 · 147 citations)
    People often replace letters with look-alike symbols to write slang such as "1337", hide insults, or spoof domain names, and readers decode these easily.

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. UKP-Athene: Multi-Sentence Textual Entailment for Claim VerificationAndreas Hanselowski, Hao Zhang, Zile Li, et al.Workshop on Fact Extraction and VERification… · 258 citations
  2. A Richly Annotated Corpus for Different Tasks in Automated Fact-CheckingAndreas Hanselowski, Christian Stab, Claudia Schulz, et al.Conference on Computational Natural Language… · 147 citations
  3. Text Processing Like Humans Do: Visually Attacking and Shielding NLP SystemsSteffen Eger, Gözde Gül Şahin, Andreas Rücklé, et al.Conference of the North American Chapter of the… · 147 citations
  4. The Right Model for the Job: An Evaluation of Legal Multi-Label Classification Baselines (original ↗)Martina Forster et al.2024 · arXiv:2401.11852 · 3 citations · no summary yet

 Co-authors here

12 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 213 times (of the 141,840 papers whose bibliographies we read); 28 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/claudia-schulz/