🧑‍🔬 Noe Casas

Affiliations

• Universitat Politècnica de Catalunya · Barcelona, Spain — current · 2018–2022 on 15 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.

Topics

Machine translation1Low-resource languages1Morphology1Evaluation & benchmarks1Bias, fairness & safety1

Papers

The most cited first (OpenAlex and our library).

1. Evaluating the Underlying Gender Bias in Contextualized Word Embeddings (2019 · 264 citations)
   This workshop paper asks whether contextualized word embeddings carry gender bias, and how much compared with standard and debiased static embeddings.
2. Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models (2019 · 20 citations)
   The paper takes the knowledge inside a rule-based system (Lucy LT, with its lexicons, morphological classes and parse trees) and feeds it to a neural translator trained on small data, for English to Spanish (generic and medical), Basque, Irish and Simplified Chinese.

Also in our library

1 more work of theirs is in our library without a page here yet; it will appear as we publish them.

Co-authors here

4 co-authors with a page, the most papers together first.

• Bharathi Raja Chakravarthi
• Maraim Masoud
• Marta R. Costa-jussà
• Mihael Arcan

Cited by

Papers of our library cite their works 89 times (of the 140 884 papers whose bibliographies we read); 13 citing papers with a page here →.

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