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20172023
most citedRobust Multilingual Named Entity Recognition with Shallow Semi-Supervised Features

91 citations · 188 across the 18 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CL2022★ 2 cited

T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks

Iker García-Ferrero, Rodrigo Agerri, German Rigau

In the absence of readily available labeled data for a given sequence labeling task and language, annotation projection has been proposed as one of the possible strategies to autom…

cs.CL2022★ 3 cited

Lessons learned from the evaluation of Spanish Language Models

Rodrigo Agerri, Eneko Agirre

Given the impact of language models on the field of Natural Language Processing, a number of Spanish encoder-only masked language models (aka BERTs) have been trained and released.…

cs.CL2022★ 1 cited

Leveraging a New Spanish Corpus for Multilingual and Crosslingual Metaphor Detection

Elisa Sanchez-Bayona, Rodrigo Agerri

The lack of wide coverage datasets annotated with everyday metaphorical expressions for languages other than English is striking. This means that most research on supervised metaph…

cs.CL2022★ 1 cited

Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings

Iker García-Ferrero, Rodrigo Agerri, German Rigau

Zero-resource cross-lingual transfer approaches aim to apply supervised models from a source language to unlabelled target languages. In this paper we perform an in-depth study of…

cs.CL2022

BasqueParl: A Bilingual Corpus of Basque Parliamentary Transcriptions

Nayla Escribano, Jon Ander González, Julen Orbegozo-Terradillos +4

Parliamentary transcripts provide a valuable resource to understand the reality and know about the most important facts that occur over time in our societies. Furthermore, the poli…

cs.CL2022

Does Corpus Quality Really Matter for Low-Resource Languages?

Mikel Artetxe, Itziar Aldabe, Rodrigo Agerri +2

The vast majority of non-English corpora are derived from automatically filtered versions of CommonCrawl. While prior work has identified major issues on the quality of these datas…