28 citations · 81 across the 7 of their papers we have counts for
4 papers · 1 filter
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…