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Hugo Zaragoza

Hugo Zaragoza has 2 papers in our library, in 2008–2011, most of them on Information retrieval & search, English; often with Massimiliano Ciaramita, Giuseppe Attardi, Mihai Surdeanu.

2 papers in our library · 2008–2011

OpenAlex · h-index 29 · 129 works · 6,606 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 41 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5328

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

🎓Sapienza University of RomeRome · Italy2026 · 1 papercurrent🏢YahooSunnyvale · United States2007–2011 · 7 papers🏢Microsoft ResearchCambridge · United Kingdom2002–2005 · 7 papers🏢YahooMadrid · Spain2008–2010 · 6 papers🔬LIP6Paris · France1997–2001 · 4 papers🏢YahooLondon · United Kingdom2008–2016 · 3 papers🏢MicrosoftRedmond · United States2001–2004 · 3 papers🎓Université Pierre-et-Marie-CurieParis · France1997–1999 · 3 papers🏢AmazonSeattle · United States2020–2022 · 2 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.

 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 · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work

🧭 Topics 2Research subjects and languages the work is about.Information retrieval & search · 1 workEnglish · 1 work

 Works by year

2010s

20111 paper

2000s

20081 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Learning to Rank Answers to Non-Factoid Questions from Web Collections (2011 · 193 citations)
    Most question answering research targets factoid questions with short entity-like answers. This paper instead tackles ranking answers to non-factoid "How to" (manner) questions, where annotated training data is scarce. The authors argue that community QA sites can serve as free supervision. Yahoo! Answers threads…
  2. Semantically Annotated Snapshot of the English Wikipedia (2008 · 52 citations)
    Wikipedia had become a common resource for NLP and IR research. But running a full linguistic pipeline over the whole encyclopedia took computing power many groups lacked. Teams also prepared different dumps in different ways, so their results were hard to compare. The authors address this by releasing SW1, a single…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Learning to Rank Answers to Non-Factoid Questions from Web CollectionsComputational LinguisticsMihai Surdeanu, Massimiliano Ciaramita, Hugo Zaragoza2011 · 193 citations
  2. Semantically Annotated Snapshot of the English WikipediaLanguage Resources and Evaluation Conference (LREC)Jordi Atserias, Hugo Zaragoza, Massimiliano Ciaramita, et al.2008 · 52 citations
  3. Span-Level Machine Translation Meta-Evaluation ↗arXiv:2603.19921 · no summary yetStefano Perrella, Eric Morales Agostinho, Hugo Zaragoza2026

 Co-authors here

3 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 41 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

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