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02/17/2021
Sparsely Factored Neural Machine Translation
The standard approach to incorporate linguistic information to neural ma...
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09/28/2020
Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios
Rule-based machine translation is a machine translation paradigm where l...
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04/05/2020
Syntax-driven Iterative Expansion Language Models for Controllable Text Generation
The dominant language modeling paradigms handle text as a sequence of di...
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02/28/2020
Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation
Back-translation provides a simple yet effective approach to exploit mon...
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05/16/2019
Joint Source-Target Self Attention with Locality Constraints
The dominant neural machine translation models are based on the encoder-...
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04/18/2019
Evaluating the Underlying Gender Bias in Contextualized Word Embeddings
Gender bias is highly impacting natural language processing applications...
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03/19/2018
English-Catalan Neural Machine Translation in the Biomedical Domain through the cascade approach
This paper describes the methodology followed to build a neural machine ...
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03/27/2017
Deep Deterministic Policy Gradient for Urban Traffic Light Control
Traffic light timing optimization is still an active line of research de...
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06/10/2015
A review of landmark articles in the field of co-evolutionary computing
Coevolution is a powerful tool in evolutionary computing that mitigates ...
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06/10/2015
