142 citations · 213 across the 10 of their papers we have counts for
10 papers
Sparsely Factored Neural Machine Translation
Noe Casas, Jose A. R. Fonollosa, Marta R. Costa-jussà
The standard approach to incorporate linguistic information to neural machine translation systems consists in maintaining separate vocabularies for each of the annotated features t…
Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios
Daniel Torregrosa, Nivranshu Pasricha, Maraim Masoud +4
Rule-based machine translation is a machine translation paradigm where linguistic knowledge is encoded by an expert in the form of rules that translate text from source to target l…
Syntax-driven Iterative Expansion Language Models for Controllable Text Generation
Noe Casas, José A. R. Fonollosa, Marta R. Costa-jussà
The dominant language modeling paradigm handles text as a sequence of discrete tokens. While that approach can capture the latent structure of the text, it is inherently constraine…
Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation
Mikel Artetxe, Gorka Labaka, Noe Casas +1
Back-translation provides a simple yet effective approach to exploit monolingual corpora in Neural Machine Translation (NMT). Its iterative variant, where two opposite NMT models a…
Joint Source-Target Self Attention with Locality Constraints
José A. R. Fonollosa, Noe Casas, Marta R. Costa-jussà
The dominant neural machine translation models are based on the encoder-decoder structure, and many of them rely on an unconstrained receptive field over source and target sequence…
Evaluating the Underlying Gender Bias in Contextualized Word Embeddings
Christine Basta, Marta R. Costa-jussà, Noe Casas
Gender bias is highly impacting natural language processing applications. Word embeddings have clearly been proven both to keep and amplify gender biases that are present in curren…
English-Catalan Neural Machine Translation in the Biomedical Domain through the cascade approach
Marta R. Costa-jussà, Noe Casas, Maite Melero
This paper describes the methodology followed to build a neural machine translation system in the biomedical domain for the English-Catalan language pair. This task can be consider…
Deep Deterministic Policy Gradient for Urban Traffic Light Control
Noe Casas
Traffic light timing optimization is still an active line of research despite the wealth of scientific literature on the topic, and the problem remains unsolved for any non-toy sce…
Genetic Algorithms for multimodal optimization: a review
Noe Casas
In this article we provide a comprehensive review of the different evolutionary algorithm techniques used to address multimodal optimization problems, classifying them according to…
A review of landmark articles in the field of co-evolutionary computing
Noe Casas
Coevolution is a powerful tool in evolutionary computing that mitigates some of its endemic problems, namely stagnation in local optima and lack of convergence in high dimensionali…