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2020 – today
- 2021
[j4]Christine Basta
, Marta R. Costa-jussà, Noe Casas:
Extensive study on the underlying gender bias in contextualized word embeddings. Neural Comput. Appl. 33(8): 3371-3384 (2021)- [j3]Noe Casas, Marta R. Costa-jussà, José A. R. Fonollosa, Juan A. Alonso, Ramón Fanlo:
Linguistic knowledge-based vocabularies for Neural Machine Translation. Nat. Lang. Eng. 27(4): 485-506 (2021) - [i10]Noe Casas, José A. R. Fonollosa, Marta R. Costa-jussà:
Sparsely Factored Neural Machine Translation. CoRR abs/2102.08934 (2021) - 2020
- [b1]Noé Casas Manzanares:
Injection of linguistic knowledge into neural text generation models. Polytechnic University of Catalonia, Spain, 2020 - [j2]Mikel Artetxe, Gorka Labaka, Noe Casas, Eneko Agirre:
Do all roads lead to Rome? Understanding the role of initialization in iterative back-translation. Knowl. Based Syst. 206: 106401 (2020) - [c6]Noe Casas, Marta R. Costa-jussà, José A. R. Fonollosa:
Combining Subword Representations into Word-level Representations in the Transformer Architecture. ACL (student) 2020: 66-71 - [c5]Noe Casas, José A. R. Fonollosa, Marta R. Costa-jussà:
Syntax-driven Iterative Expansion Language Models for Controllable Text Generation. SPNLP@EMNLP 2020: 1-10 - [i9]Mikel Artetxe, Gorka Labaka, Noe Casas, Eneko Agirre:
Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation. CoRR abs/2002.12867 (2020) - [i8]Noe Casas, José A. R. Fonollosa, Marta R. Costa-jussà:
Syntax-driven Iterative Expansion Language Models for Controllable Text Generation. CoRR abs/2004.02211 (2020) - [i7]Daniel Torregrosa, Nivranshu Pasricha, Maraim Masoud, Bharathi Raja Chakravarthi, Juan A. Alonso, Noe Casas, Mihael Arcan:
Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios. CoRR abs/2009.13398 (2020)
2010 – 2019
- 2019
- [j1]Marta R. Costa-jussà, Noe Casas, Carlos Escolano, José A. R. Fonollosa:
Chinese-Catalan: A Neural Machine Translation Approach Based on Pivoting and Attention Mechanisms. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18(4): 43:1-43:8 (2019) - [c4]Daniel Torregrosa, Nivranshu Pasricha, Maraim Masoud, Bharathi Raja Chakravarthi, Juan A. Alonso, Noe Casas, Mihael Arcan:
Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models. MTSummit (2) 2019: 125-133 - [c3]Noe Casas, José A. R. Fonollosa, Carlos Escolano, Christine Basta, Marta R. Costa-jussà:
The TALP-UPC Machine Translation Systems for WMT19 News Translation Task: Pivoting Techniques for Low Resource MT. WMT (2) 2019: 155-162 - [i6]Christine Basta, Marta Ruiz Costa-jussà, Noe Casas:
Evaluating the Underlying Gender Bias in Contextualized Word Embeddings. CoRR abs/1904.08783 (2019) - [i5]José A. R. Fonollosa, Noe Casas, Marta R. Costa-jussà:
Joint Source-Target Self Attention with Locality Constraints. CoRR abs/1905.06596 (2019) - 2018
- [c2]Noe Casas, José A. R. Fonollosa, Marta R. Costa-jussà:
A differentiable BLEU loss. Analysis and first results. ICLR (Workshop) 2018 - [c1]Noe Casas, Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa:
The TALP-UPC Machine Translation Systems for WMT18 News Shared Translation Task. WMT (shared task) 2018: 355-360 - [i4]Marta R. Costa-jussà, Noe Casas, Maite Melero:
English-Catalan Neural Machine Translation in the Biomedical Domain through the cascade approach. CoRR abs/1803.07139 (2018) - 2017
- [i3]Noe Casas:
Deep Deterministic Policy Gradient for Urban Traffic Light Control. CoRR abs/1703.09035 (2017) - 2015
- [i2]Noe Casas:
A review of landmark articles in the field of co-evolutionary computing. CoRR abs/1506.05082 (2015) - [i1]Noe Casas:
Genetic Algorithms for multimodal optimization: a review. CoRR abs/1508.05342 (2015)
Coauthor Index
aka: Marta Ruiz Costa-jussà
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