activity
20152023
most citedImage Captioning for Effective Use of Language Models in Knowledge-Based Visual Question Answering

67 citations · 87 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CL2023★ 2 cited

Do Multilingual Language Models Think Better in English?

Julen Etxaniz, Gorka Azkune, Aitor Soroa +2

Translate-test is a popular technique to improve the performance of multilingual language models. This approach works by translating the input into English using an external machin…

cs.CL2023

What do Language Models know about word senses? Zero-Shot WSD with Language Models and Domain Inventories

Oscar Sainz, Oier Lopez de Lacalle, Eneko Agirre +1

Language Models are the core for almost any Natural Language Processing system nowadays. One of their particularities is their contextualized representations, a game changer featur…

cs.CL2022★ 4 cited

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…

cs.CL2022★ 1 cited

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…

cs.CL2021★ 1 cited

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…

cs.CV2021★ 67 cited

Image Captioning for Effective Use of Language Models in Knowledge-Based Visual Question Answering

Ander Salaberria, Gorka Azkune, Oier Lopez de Lacalle +2

Integrating outside knowledge for reasoning in visio-linguistic tasks such as visual question answering (VQA) is an open problem. Given that pretrained language models have been sh…

cs.AI2021★ 4 cited

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…

cs.CL2020★ 2 cited

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…

cs.CL2018★ 3 cited

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…

cs.CL2018★ 1 cited

The risk of sub-optimal use of Open Source NLP Software: UKB is inadvertently state-of-the-art in knowledge-based WSD

Eneko Agirre, Oier López de Lacalle, Aitor Soroa

UKB is an open source collection of programs for performing, among other tasks, knowledge-based Word Sense Disambiguation (WSD). Since it was released in 2009 it has been often use…

cs.CL2015★ 2 cited

Supervised Hierarchical Classification for Student Answer Scoring

Itziar Aldabe, Oier Lopez de Lacalle, Iñigo Lopez-Gazpio +1

This paper describes a hierarchical system that predicts one label at a time for automated student response analysis. For the task, we build a classification binary tree that delay…