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Ran Levy

Ran Levy has 2 papers in our library, in 2014, most of them on Evaluation & benchmarks; often with Daniel Hershcovich, Ehud Aharoni, Noam Slonim.

2 papers in our library · 2014

OpenAlex · ORCID · Wikidata · h-index 10 · 23 works · 717 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 167 times in our library · ⭐ Paper Stars ranking: #3513

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

🎓Ben-Gurion University of the NegevBeersheba · Israel2026 · 1 paperEmploymentcurrent🏢AmazonSeattle · United States2020–2024 · 6 papers🔬IBM Research - HaifaHaifa · Israel2014–2021 · 4 papers🏢IBMArmonk · United States2014–2018 · 3 papers🎓Bar-Ilan UniversityRamat Gan · Israel2023–2025 · 2 papers🔬IBM Research - ZurichRüschlikon · Switzerland2014–2015 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Evaluation & benchmarks · 1 work

 Works by year

2010s

20142 papersRan Levy's papers of 2014

 Papers

The most cited first (OpenAlex and our library).

  1. Context Dependent Claim Detection (2014 · 268 citations)
    The paper introduces Context Dependent Claim Detection (CDCD). Given a Topic (a short phrase framing a debate) and a few relevant articles, the system must locate Context Dependent Claims (CDCs): short, general statements that directly support or contest that Topic. The authors argue this differs from generic…
  2. A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics (2014 · 195 citations)
    Argumentation mining has lacked high-quality annotated data. This paper introduces a benchmark corpus of claims and evidence tied to specific controversial topics, which earlier corpora such as AraucariaDB and the V/IP Corpus did not do. Rather than the full Toulmin model, the authors use a deliberately minimal…

 Co-authors here

5 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 167 times (of the 141,840 papers whose bibliographies we read); 17 citing papers with a page here →.

Updated

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