4 citations · 16 across the 7 of their papers we have counts for
8 papers
Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning
Oscar Sainz, Itziar Gonzalez-Dios, Oier Lopez de Lacalle +2
Recent work has shown that NLP tasks such as Relation Extraction (RE) can be recasted as Textual Entailment tasks using verbalizations, with strong performance in zero-shot and few…
ZS4IE: A toolkit for Zero-Shot Information Extraction with simple Verbalizations
Oscar Sainz, Haoling Qiu, Oier Lopez de Lacalle +2
The current workflow for Information Extraction (IE) analysts involves the definition of the entities/relations of interest and a training corpus with annotated examples. In this d…
Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction
Oscar Sainz, Oier Lopez de Lacalle, Gorka Labaka +2
Relation extraction systems require large amounts of labeled examples which are costly to annotate. In this work we reformulate relation extraction as an entailment task, with simp…
Inferring spatial relations from textual descriptions of images
Aitzol Elu, Gorka Azkune, Oier Lopez de Lacalle +3
Generating an image from its textual description requires both a certain level of language understanding and common sense knowledge about the spatial relations of the physical enti…
Evaluating Multimodal Representations on Visual Semantic Textual Similarity
Oier Lopez de Lacalle, Ander Salaberria, Aitor Soroa +2
The combination of visual and textual representations has produced excellent results in tasks such as image captioning and visual question answering, but the inference capabilities…
Evaluating Multimodal Representations on Sentence Similarity: vSTS, Visual Semantic Textual Similarity Dataset
Oier Lopez de Lacalle, Aitor Soroa, Eneko Agirre
In this paper we introduce vSTS, a new dataset for measuring textual similarity of sentences using multimodal information. The dataset is comprised by images along with its respect…