Aldizkaria, kongresua, liburua, liburu atala edo hitzaldi gonbidatua

Constructing the CLARIAH-EUS CLARIN B-Centre: First Steps

Gehiago irakurriConstructing the CLARIAH-EUS CLARIN B-Centre: First Steps -ri buruz

CLARIAH-EUS: A Strategic Network Helping Basque Country Researchers to Participate in European Research Infrastructures

Gehiago irakurriCLARIAH-EUS: A Strategic Network Helping Basque Country Researchers to Participate in European Research Infrastructures -ri buruz

ANTIDOTE: ArgumeNtaTIon-Driven explainable artificial intelligence fOr digiTal mEdicine.

Gehiago irakurriANTIDOTE: ArgumeNtaTIon-Driven explainable artificial intelligence fOr digiTal mEdicine. -ri buruz

#neural2speech: Decoding Speech and Language from the Human Brain

Gehiago irakurri#neural2speech: Decoding Speech and Language from the Human Brain -ri buruz

CLARIAH-EUS: a Cross-border CLARIAH Node for the Basque Language and Culture

Gehiago irakurriCLARIAH-EUS: a Cross-border CLARIAH Node for the Basque Language and Culture -ri buruz

CLARIAH-ES: Strategic Network for the Integration in the European Research Infrastructures in Social Sciences and Humanities

Gehiago irakurriCLARIAH-ES: Strategic Network for the Integration in the European Research Infrastructures in Social Sciences and Humanities -ri buruz

CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures

Gehiago irakurriCasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures -ri buruz

BertaQA: How Much Do Language Models Know About Local Culture?

Gehiago irakurriBertaQA: How Much Do Language Models Know About Local Culture? -ri buruz

The 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis

Gehiago irakurriThe 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis -ri buruz

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

Gehiago irakurriEnglish Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts -ri buruz

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