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Ramón Fernandez Astudillo

Ramón Fernandez Astudillo has 3 papers in our library, in 2015–2022, most of them on Coreference resolution, Machine translation, Evaluation & benchmarks; often with Alan W Black, André F. T. Martins, Austin Blodgett.

3 papers in our library · 2015–2022

OpenAlex · ORCID · Wikidata · h-index 24 · 99 works · 2,003 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 583 citations in our library · 13 more in our library without a page yet · ⭐ Paper Star rank #3069

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

🏢IBMArmonk · United States2020–2025 · 23 paperscurrent🔬Instituto de Engenharia de Sistemas e Computadores Investigação e DesenvolvimentoLisbon · Portugal2009–2019 · 31 papers🤝Institute for Systems Engineering and ComputersLisbon · Portugal2013–2016 · 6 papers🎓Technische Universität BerlinBerlin · Germany2006–2011 · 6 papers🔬IBM Research - IrelandDublin · Ireland2021–2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 more institutions on single bylines are not listed.

 Topics

 Coreference resolution (1) Machine translation (1) Evaluation & benchmarks (1) Semantic parsing & meaning representation (1)

 Works by year

2020s

20221 paper

2010s

20181 paper20151 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation (2015 · 301 citations)
    Most neural NLP systems give each word type its own independently learned vector. This ignores the shared structure of related forms, offers nothing for words unseen in training, and makes parameter counts grow with vocabulary size. These problems are especially acute for morphologically rich languages such as Turkish.
  2. Findings of the WMT 2018 Shared Task on Quality Estimation (2018 · 134 citations)
    The WMT 2018 Quality Estimation (QE) shared task asked systems to judge machine translation output without reference translations, at four granularities: sentence, word, phrase and document.
  3. DocAMR: Multi-Sentence AMR Representation and Evaluation (2022 · 24 citations)
    AMR was built for single sentences, so a document needs one graph that joins sentences through their coreference links.

Also in our library

13 more works of theirs are in our library without a page here yet; they will appear as we publish them.

 Co-authors here

12 of 16 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 583 times (of the 140,884 papers whose bibliographies we read); 55 citing papers with a page here →.

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