65 citations · 86 across the 15 of their papers we have counts for
17 papers
A Catalog of Basque Dialectal Resources: Online Collections and Standard-to-Dialectal Adaptations
Jaione Bengoetxea, Itziar Gonzalez-Dios, Rodrigo Agerri
Recent research on dialectal NLP has identified data scarcity as a primary limitation. To address this limitation, this paper presents a catalog of contemporary Basque dialectal da…
Physical Commonsense Reasoning for Lower-Resourced Languages and Dialects: a Study on Basque
Jaione Bengoetxea, Itziar Gonzalez-Dios, Rodrigo Agerri
Physical commonsense reasoning represents a fundamental capability of human intelligence, enabling individuals to understand their environment, predict future events, and navigate…
Challenging the Abilities of Large Language Models in Italian: a Community Initiative
Malvina Nissim, Danilo Croce, Viviana Patti +78
The rapid progress of Large Language Models (LLMs) has transformed natural language processing and broadened its impact across research and society. Yet, systematic evaluation of t…
Lost in Variation? Evaluating NLI Performance in Basque and Spanish Geographical Variants
Jaione Bengoetxea, Itziar Gonzalez-Dios, Rodrigo Agerri
In this paper, we evaluate the capacity of current language technologies to understand Basque and Spanish language varieties. We use Natural Language Inference (NLI) as a pivot tas…
LengClaro2023: A Dataset of Administrative Texts in Spanish with Plain Language adaptations
Belén Agüera-Marco, Itziar Gonzalez-Dios
In this work, we present LengClaro2023, a dataset of legal-administrative texts in Spanish. Based on the most frequently used procedures from the Spanish Social Security website, w…
A Hard Nut to Crack: Idiom Detection with Conversational Large Language Models
Francesca De Luca Fornaciari, Begoña Altuna, Itziar Gonzalez-Dios +1
In this work, we explore idiomatic language processing with Large Language Models (LLMs). We introduce the Idiomatic language Test Suite IdioTS, a new dataset of difficult examples…
This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models
Iker García-Ferrero, Begoña Altuna, Javier Álvez +2
Although large language models (LLMs) have apparently acquired a certain level of grammatical knowledge and the ability to make generalizations, they fail to interpret negation, a…
Easy-to-Read in Germany: A Survey on its Current State and Available Resources
Margot Madina, Itziar Gonzalez-Dios, Melanie Siegel
Easy-to-Read Language (E2R) is a controlled language variant that makes any written text more accessible through the use of clear, direct and simple language. It is mainly aimed at…
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
Hugo Laurençon, Lucile Saulnier, Thomas Wang +51
As language models grow ever larger, the need for large-scale high-quality text datasets has never been more pressing, especially in multilingual settings. The BigScience workshop,…
Noisy Channel for Automatic Text Simplification
Oscar M Cumbicus-Pineda, Iker Gutiérrez-Fandiño, Itziar Gonzalez-Dios +1
In this paper we present a simple re-ranking method for Automatic Sentence Simplification based on the noisy channel scheme. Instead of directly computing the best simplification g…
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop, :, Teven Le Scao +391
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…
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…
MultiAzterTest: a Multilingual Analyzer on Multiple Levels of Language for Readability Assessment
Kepa Bengoetxea, Itziar Gonzalez-Dios
Readability assessment is the task of determining how difficult or easy a text is or which level/grade it has. Traditionally, language dependent readability formula have been used,…
Multilingual Central Repository: a Cross-lingual Framework for Developing Wordnets
Xavier Gómez Guinovart, Itziar Gonzalez-Dios, Antoni Oliver +1
Language resources are necessary for language processing,but building them is costly, involves many researches from different areas and needs constant updating. In this paper, we d…
Commonsense Reasoning Using WordNet and SUMO: a Detailed Analysis
Javier Álvez, Itziar Gonzalez-Dios, German Rigau
We describe a detailed analysis of a sample of large benchmark of commonsense reasoning problems that has been automatically obtained from WordNet, SUMO and their mapping. The obje…
Applying the Closed World Assumption to SUMO-based FOL Ontologies for Effective Commonsense Reasoning
Javier Álvez, Itziar Gonzalez-Dios, German Rigau
Most commonly, the Open World Assumption is adopted as a standard strategy for the design, construction and use of ontologies. This strategy limits the inferencing capabilities of…
Validating WordNet Meronymy Relations using Adimen-SUMO
Javier Álvez, Itziar Gonzalez-Dios, German Rigau
In this paper, we report on the practical application of a novel approach for validating the knowledge of WordNet using Adimen-SUMO. In particular, this paper focuses on cross-chec…