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Jason Smith

Jason Smith has 3 papers in our library, in 2008–2013, most of them on Coreference resolution, Machine translation; often with Adam Lopez, Alessandro Moschitti, Chris Callison-Burch.

3 papers in our library · 2008–2013

OpenAlex · h-index 6 · 13 works · 5,790 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 1,949 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #3234

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

🎓Johns Hopkins UniversityBaltimore · United States2008–2013 · 8 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 1 work

🧭 Topics 2Research subjects and languages the work is about.Coreference resolution · 1 workMachine translation · 1 work

 Works by year

2010s

20131 paper20101 paper

2000s

20081 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Extracting Parallel Sentences from Comparable Corpora using Document Level Alignment (2010 · 302 citations)
    Statistical MT systems depend heavily on parallel training data, which is scarce for most language pairs and domains.
  2. BART: A Modular Toolkit for Coreference Resolution (2008 · 198 citations)
    Building a coreference resolver that works end-to-end, from raw text to entity chains, takes substantial engineering.
  3. Dirt Cheap Web-Scale Parallel Text from the Common Crawl (2013 · 166 citations)
    Statistical machine translation depends on parallel text. Curated corpora cover only a few language pairs, and most of them are government or news text. Large web crawls could supply more, but only big companies have been able to crawl and process the web at that scale. The authors avoid crawling altogether by mining…

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. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation ↗arXiv:1609.08144 · no summary yetYonghui Wu et al.2016 · 6,904 citations
  2. Extracting Parallel Sentences from Comparable Corpora using Document Level AlignmentConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jason R. Smith, Chris Quirk, Kristina Toutanova2010 · 302 citations
  3. BART: A Modular Toolkit for Coreference ResolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Yannick Versley, Simone Paolo Ponzetto, Massimo Poesio, et al.2008 · 198 citations
  4. Dirt Cheap Web-Scale Parallel Text from the Common CrawlAnnual Meeting of the Association for Computational Linguistics (ACL)Jason R. Smith, Herve Saint-Amand, Magdalena Plamada, et al.2013 · 166 citations

 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 1,949 times (of the 149,439 papers whose bibliographies we read); 329 citing papers with a page here →.

Updated

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