---
title: "Noe Casas — papers of 2019 — 2 papers, the most cited first"
description: "Noe Casas — papers of 2019: 2 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/noe-casas/year/2019/"
---
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# Noe Casas — papers of 2019 — 2 papers, the most cited first

2 papers · [all years of Noe Casas](https://md.research.elamur.ai/free/en/authors/noe-casas/#years)

**[Evaluating the Underlying Gender Bias in Contextualized Word Embeddings](https://md.research.elamur.ai/free/en/papers/basta-2019-evaluating-underlying-gender-bias-contextualized/) [Workshop on Gender Bias in Natural Language Processing](https://md.research.elamur.ai/free/en/venues/gebnlp/)**Christine Basta, Marta R. Costa-jussà, Noe Casas*2019 · 266 citations*

- [Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models](https://md.research.elamur.ai/free/en/papers/torregrosa-2019-leveraging-rule-based-machine-translation/) — Daniel Torregrosa, Nivranshu Pasricha, Maraim Masoud, et al. · Machine translation · 20 citations
