Yerai Doval

Cross-Lingual Word Embeddings for Turkic Languages

May 17, 2020
Elmurod Kuriyozov, Yerai Doval, Carlos Gómez-Rodríguez

Figure 2 for Cross-Lingual Word Embeddings for Turkic Languages

Figure 3 for Cross-Lingual Word Embeddings for Turkic Languages

Figure 4 for Cross-Lingual Word Embeddings for Turkic Languages

* Proceedings of The 12th Language Resources and Evaluation Conference, Marseille, France, 2020, pp. 4047-4055
* Final version, published in the proceedings of LREC 2020

Access Paper or Ask Questions

Towards robust word embeddings for noisy texts

Nov 28, 2019
Yerai Doval, Jesús Vilares, Carlos Gómez-Rodríguez

Figure 2 for Towards robust word embeddings for noisy texts

Figure 3 for Towards robust word embeddings for noisy texts

Figure 4 for Towards robust word embeddings for noisy texts

* 11 pages, 1 figure, 4 tables

Access Paper or Ask Questions

Meemi: A Simple Method for Post-processing Cross-lingual Word Embeddings

Oct 22, 2019
Yerai Doval, Jose Camacho-Collados, Luis Espinosa-Anke, Steven Schockaert

Figure 2 for Meemi: A Simple Method for Post-processing Cross-lingual Word Embeddings

Figure 3 for Meemi: A Simple Method for Post-processing Cross-lingual Word Embeddings

Figure 4 for Meemi: A Simple Method for Post-processing Cross-lingual Word Embeddings

* 23 pages, 2 figures, 7 tables. Preprint submitted to Journal of Artificial Intelligence Research

Access Paper or Ask Questions

Meemi: Finding the Middle Ground in Cross-lingual Word Embeddings

Oct 21, 2019
Yerai Doval, Jose Camacho-Collados, Luis Espinosa-Anke, Steven Schockaert

Figure 2 for Meemi: Finding the Middle Ground in Cross-lingual Word Embeddings

Figure 3 for Meemi: Finding the Middle Ground in Cross-lingual Word Embeddings

Figure 4 for Meemi: Finding the Middle Ground in Cross-lingual Word Embeddings

* 23 pages, 2 figures, 7 tables. Preprint submitted to Journal of Artificial Intelligence Research

Access Paper or Ask Questions

On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning

Aug 21, 2019
Yerai Doval, Jose Camacho-Collados, Luis Espinosa-Anke, Steven Schockaert

Figure 2 for On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning

Figure 3 for On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning

Figure 4 for On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning

* 13 pages, 2 figures, 7 tables

Access Paper or Ask Questions

Learning Cross-lingual Embeddings from Twitter via Distant Supervision

May 17, 2019
Jose Camacho-Collados, Yerai Doval, Eugenio Martínez-Cámara, Luis Espinosa-Anke, Francesco Barbieri, Steven Schockaert

Figure 2 for Learning Cross-lingual Embeddings from Twitter via Distant Supervision

Figure 3 for Learning Cross-lingual Embeddings from Twitter via Distant Supervision

Figure 4 for Learning Cross-lingual Embeddings from Twitter via Distant Supervision

* 11 pages, 5 tables, 1 figure, 1 appendix

Access Paper or Ask Questions

Comparing Neural- and N-Gram-Based Language Models for Word Segmentation

Dec 03, 2018
Yerai Doval, Carlos Gómez-Rodríguez

Figure 2 for Comparing Neural- and N-Gram-Based Language Models for Word Segmentation

Figure 3 for Comparing Neural- and N-Gram-Based Language Models for Word Segmentation

Figure 4 for Comparing Neural- and N-Gram-Based Language Models for Word Segmentation

* Volume 69, Issue 11, 2018, 11 pages
* 11 pages, 4 figures, 5 tables, accepted in Journal of the Association for Information Science and Technology

Access Paper or Ask Questions

Improving Cross-Lingual Word Embeddings by Meeting in the Middle

Aug 27, 2018
Yerai Doval, Jose Camacho-Collados, Luis Espinosa-Anke, Steven Schockaert

Figure 2 for Improving Cross-Lingual Word Embeddings by Meeting in the Middle

Figure 3 for Improving Cross-Lingual Word Embeddings by Meeting in the Middle

Figure 4 for Improving Cross-Lingual Word Embeddings by Meeting in the Middle

* 11 pages, 4 tables, 1 figure. EMNLP 2018 camera-ready

Access Paper or Ask Questions