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Elliott Franco Drabek

Elliott Franco Drabek has 2 papers in our library, in 2004, most of them on Summarization, Multilingual & cross-lingual NLP, Syntax & grammar formalisms; often with David Yarowsky, Dragomir Radev, John Blitzer.

2 papers in our library · 2004

OpenAlex · ORCID · Wikidata · h-index 17 · 34 works · 1,749 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 67 times in our library · ⭐ Paper Stars ranking: #4321

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

🎓University of Maryland, BaltimoreBaltimore · United States2011–2020 · 16 papers🎓Johns Hopkins UniversityBaltimore · United States2003–2005 · 5 papers🎓Tsinghua UniversityBeijing · China2000–2002 · 4 papers🔬State Key Laboratory of Intelligent Technology and SystemsBeijing · China2002 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 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 4Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 workSummarization · 1 workEnglish · 1 workSyntax & grammar formalisms · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Text summarization · 1 work

 Works by year

2000s

20042 papers

 Papers

The most cited first (OpenAlex and our library).

  1. MEAD - A Platform for Multidocument Multilingual Text Summarization (2004 · 400 citations)
    Research on extractive multidocument summarization lacked a shared, freely available toolkit where competing sentence-scoring methods and evaluation measures could be compared under the same conditions.
  2. Improving Bitext Word Alignments via Syntax-based Reordering of English (2004 · 7 citations)
    Statistical word aligners such as the IBM models handle local word-order shifts well but struggle when two languages differ in long-range constituent order.

 Co-authors here

4 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 67 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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