2 citations · 3 across the 16 of their papers we have counts for
16 papers
SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures
Nedjma Ousidhoum, Junho Myung, Carla Perez-Almendros +27
We present our shared task on evaluating the adaptability of LLMs and NLP systems across multiple languages and cultures. The task data consist of an extended version of our manual…
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…
Automatic Fact-checking in English and Telugu
Ravi Kiran Chikkala, Tatiana Anikina, Natalia Skachkova +3
False information poses a significant global challenge, and manually verifying claims is a time-consuming and resource-intensive process. In this research paper, we experiment with…
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…
Benchmarking Critical Questions Generation: A Challenging Reasoning Task for Large Language Models
Banca Calvo Figueras, Rodrigo Agerri
The task of Critical Questions Generation (CQs-Gen) aims to foster critical thinking by enabling systems to generate questions that expose underlying assumptions and challenge the…
Truth Knows No Language: Evaluating Truthfulness Beyond English
Blanca Calvo Figueras, Eneko Sagarzazu, Julen Etxaniz +4
We introduce a professionally translated extension of the TruthfulQA benchmark designed to evaluate truthfulness in Basque, Catalan, Galician, and Spanish. Truthfulness evaluations…
Critical Questions Generation: Motivation and Challenges
Blanca Calvo Figueras, Rodrigo Agerri
The development of Large Language Models (LLMs) has brought impressive performances on mitigation strategies against misinformation, such as counterargument generation. However, LL…
HTIM: Hybrid Text-Interaction Modeling for Broadening Political Leaning Inference in Social Media
Joseba Fernandez de Landa, Arkaitz Zubiaga, Rodrigo Agerri
Political leaning can be defined as the inclination of an individual towards certain political orientations that align with their personal beliefs. Political leaning inference has…
Political Leaning Inference through Plurinational Scenarios
Joseba Fernandez de Landa, Rodrigo Agerri
Social media users express their political preferences via interaction with other users, by spontaneous declarations or by participation in communities within the network. This mak…
Meta4XNLI: A Crosslingual Parallel Corpus for Metaphor Detection and Interpretation
Elisa Sanchez-Bayona, Rodrigo Agerri
Metaphors are a ubiquitous but often overlooked part of everyday language. As a complex cognitive-linguistic phenomenon, they provide a valuable means to evaluate whether language…
Evaluating Shortest Edit Script Methods for Contextual Lemmatization
Olia Toporkov, Rodrigo Agerri
Modern contextual lemmatizers often rely on automatically induced Shortest Edit Scripts (SES), namely, the number of edit operations to transform a word form into its lemma. In fac…
Basque and Spanish Counter Narrative Generation: Data Creation and Evaluation
Jaione Bengoetxea, Yi-Ling Chung, Marco Guerini +1
Counter Narratives (CNs) are non-negative textual responses to Hate Speech (HS) aiming at defusing online hatred and mitigating its spreading across media. Despite the recent incre…
Generalizing Political Leaning Inference to Multi-Party Systems: Insights from the UK Political Landscape
Joseba Fernandez de Landa, Arkaitz Zubiaga, Rodrigo Agerri
An ability to infer the political leaning of social media users can help in gathering opinion polls thereby leading to a better understanding of public opinion. While there has bee…
Language Independent Stance Detection: Social Interaction-based Embeddings and Large Language Models
Joseba Fernandez de Landa, Rodrigo Agerri
The large majority of the research performed on stance detection has been focused on developing more or less sophisticated text classification systems, even when many benchmarks ar…
Social Analysis of Young Basque Speaking Communities in Twitter
J. Fernandez de Landa, R. Agerri
In this paper we take into account both social and linguistic aspects to perform demographic analysis by processing a large amount of tweets in Basque language. The study of demogr…