Work

Par-ITA: Benchmarking Seq2Seq and LLMs on a Human-Supervised Parallel Corpus for Italian Hyperpartisan Neutralization

Year: 2026

Type: conference-paper

Abstract: Michele Joshua Maggini, Søren Fomsgaard, Michele Maestroni, Gaël Dias, Pablo Gamallo. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.

Source: Proceedings of the conference - Association for Computational Linguistics. Meeting

DOI: 10.18653/v1/2026.acl-long.253

Authors: Michele Joshua Maggini, Søren Fomsgaard, Michele Maestroni, Gaël Dias, Pablo Gamallo

Institutions: Universidade de Santiago de Compostela, Centre National de la Recherche Scientifique, École Nationale Supérieure d'Ingénieurs de Caen, GREYC, Université de Caen Normandie

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: UK Research and Innovation, Ministerio de Ciencia, Innovación y Universidades, HORIZON EUROPE Framework Programme, Agencia Estatal de Investigación

Awards: G6185594455, G717256432

OpenAlex ID: W7166846236

FWCI:

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