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20172022
most citedRobust Multilingual Named Entity Recognition with Shallow Semi-Supervised Features

91 citations · 151 across the 7 of their papers we have counts for

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12 papers · 1 filter

cs.CL20221 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

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.CL2021

Multilingual Counter Narrative Type Classification

Yi-Ling Chung, Marco Guerini, Rodrigo Agerri

The growing interest in employing counter narratives for hatred intervention brings with it a focus on dataset creation and automation strategies. In this scenario, learning to rec…

cs.CL202124 cited

Semi-automatic Generation of Multilingual Datasets for Stance Detection in Twitter

Elena Zotova, Rodrigo Agerri, German Rigau

Popular social media networks provide the perfect environment to study the opinions and attitudes expressed by users. While interactions in social media such as Twitter occur in ma…

cs.CL2020

Give your Text Representation Models some Love: the Case for Basque

Rodrigo Agerri, Iñaki San Vicente, Jon Ander Campos +4

Word embeddings and pre-trained language models allow to build rich representations of text and have enabled improvements across most NLP tasks. Unfortunately they are very expensi…

cs.CL2020

Multilingual Stance Detection: The Catalonia Independence Corpus

Elena Zotova, Rodrigo Agerri, Manuel Nuñez +1

Stance detection aims to determine the attitude of a given text with respect to a specific topic or claim. While stance detection has been fairly well researched in the last years,…