79 citations · 401 across the 59 of their papers we have counts for
6 papers · 1 filter
Modelling Semantic Categories using Conceptual Neighborhood
Zied Bouraoui, Jose Camacho-Collados, Luis Espinosa-Anke +1
While many methods for learning vector space embeddings have been proposed in the field of Natural Language Processing, these methods typically do not distinguish between categorie…
Inducing Relational Knowledge from BERT
Zied Bouraoui, Jose Camacho-Collados, Steven Schockaert
One of the most remarkable properties of word embeddings is the fact that they capture certain types of semantic and syntactic relationships. Recently, pre-trained language models…
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…
Relational Word Embeddings
Jose Camacho-Collados, Luis Espinosa-Anke, Steven Schockaert
While word embeddings have been shown to implicitly encode various forms of attributional knowledge, the extent to which they capture relational information is far more limited. In…
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…