10 citations · 10 across the 1 of their papers we have counts for
7 papers
Cross-Lingual Word Embeddings for Turkic Languages
Elmurod Kuriyozov, Yerai Doval, Carlos Gómez-Rodríguez
There has been an increasing interest in learning cross-lingual word embeddings to transfer knowledge obtained from a resource-rich language, such as English, to lower-resource lan…
Towards robust word embeddings for noisy texts
Yerai Doval, Jesús Vilares, Carlos Gómez-Rodríguez
Research on word embeddings has mainly focused on improving their performance on standard corpora, disregarding the difficulties posed by noisy texts in the form of tweets and othe…
Meemi: A Simple Method for Post-processing and Integrating Cross-lingual Word Embeddings
Yerai Doval, Jose Camacho-Collados, Luis Espinosa-Anke +1
Word embeddings have become a standard resource in the toolset of any Natural Language Processing practitioner. While monolingual word embeddings encode information about words in…
On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning
Yerai Doval, Jose Camacho-Collados, Luis Espinosa-Anke +1
Cross-lingual word embeddings are vector representations of words in different languages where words with similar meaning are represented by similar vectors, regardless of the lang…
Learning Cross-lingual Embeddings from Twitter via Distant Supervision
Jose Camacho-Collados, Yerai Doval, Eugenio Martínez-Cámara +3
Cross-lingual embeddings represent the meaning of words from different languages in the same vector space. Recent work has shown that it is possible to construct such representatio…
Comparing Neural- and N-Gram-Based Language Models for Word Segmentation
Yerai Doval, Carlos Gómez-Rodríguez
Word segmentation is the task of inserting or deleting word boundary characters in order to separate character sequences that correspond to words in some language. In this article…