activity
20172025
most citedLarge-Scale Contextualised Language Modelling for Norwegian

16 citations · 33 across the 17 of their papers we have counts for

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25 papers · 1 filter

cs.CL2025

Vision-Language Models Struggle to Align Entities across Modalities

Iñigo Alonso, Gorka Azkune, Ander Salaberria +2

Cross-modal entity linking refers to the ability to align entities and their attributes across different modalities. While cross-modal entity linking is a fundamental skill needed…

cs.CL2025

EuskañolDS: A Naturally Sourced Corpus for Basque-Spanish Code-Switching

Maite Heredia, Jeremy Barnes, Aitor Soroa

Code-switching (CS) remains a significant challenge in Natural Language Processing (NLP), mainly due a lack of relevant data. In the context of the contact between the Basque and S…

cs.CL2025

HiTZ at VarDial 2025 NorSID: Overcoming Data Scarcity with Language Transfer and Automatic Data Annotation

Jaione Bengoetxea, Mikel Zubillaga, Ekhi Azurmendi +4

In this paper we present our submission for the NorSID Shared Task as part of the 2025 VarDial Workshop (Scherrer et al., 2025), consisting of three tasks: Intent Detection, Slot F…

cs.CL2024

XNLIeu: a dataset for cross-lingual NLI in Basque

Maite Heredia, Julen Etxaniz, Muitze Zulaika +3

XNLI is a popular Natural Language Inference (NLI) benchmark widely used to evaluate cross-lingual Natural Language Understanding (NLU) capabilities across languages. In this paper…

cs.CL20246 cited

English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts

Patrick Bareiß, Roman Klinger, Jeremy Barnes

Emotion classification in text is a challenging task due to the processes involved when interpreting a textual description of a potential emotion stimulus. In addition, the set of…

cs.CL20222 cited

Annotating Norwegian Language Varieties on Twitter for Part-of-Speech

Petter Mæhlum, Andre Kåsen, Samia Touileb +1

Norwegian Twitter data poses an interesting challenge for Natural Language Processing (NLP) tasks. These texts are difficult for models trained on standardized text in one of the t…