3 citations · 4 across the 3 of their papers we have counts for
3 papers
Grounding Spatial Relations in Text-Only Language Models
Gorka Azkune, Ander Salaberria, Eneko Agirre
This paper shows that text-only Language Models (LM) can learn to ground spatial relations like "left of" or "below" if they are provided with explicit location information of obje…
Improving Explicit Spatial Relationships in Text-to-Image Generation through an Automatically Derived Dataset
Ander Salaberria, Gorka Azkune, Oier Lopez de Lacalle +3
Existing work has observed that current text-to-image systems do not accurately reflect explicit spatial relations between objects such as 'left of' or 'below'. We hypothesize that…
IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition using Knowledge Bases
Iker García-Ferrero, Jon Ander Campos, Oscar Sainz +2
Named Entity Recognition (NER) is a core natural language processing task in which pre-trained language models have shown remarkable performance. However, standard benchmarks like…