28 citations · 81 across the 7 of their papers we have counts for
8 papers
On the performance of phonetic algorithms in microtext normalization
Yerai Doval, Manuel Vilares, Jesús Vilares
User-generated content published on microblogging social networks constitutes a priceless source of information. However, microtexts usually deviate from the standard lexical and g…
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…
Improving Cross-Lingual Word Embeddings by Meeting in the Middle
Yerai Doval, Jose Camacho-Collados, Luis Espinosa-Anke +1
Cross-lingual word embeddings are becoming increasingly important in multilingual NLP. Recently, it has been shown that these embeddings can be effectively learned by aligning two…