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20182025
most citedMultiAzterTest: a Multilingual Analyzer on Multiple Levels of Language for Readability Assessment

7 citations · 14 across the 6 of their papers we have counts for

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cs.CL2022

Noisy Channel for Automatic Text Simplification

Oscar M Cumbicus-Pineda, Iker Gutiérrez-Fandiño, Itziar Gonzalez-Dios +1

In this paper we present a simple re-ranking method for Automatic Sentence Simplification based on the noisy channel scheme. Instead of directly computing the best simplification g…

cs.CL20224 cited

Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning

Oscar Sainz, Itziar Gonzalez-Dios, Oier Lopez de Lacalle +2

Recent work has shown that NLP tasks such as Relation Extraction (RE) can be recasted as Textual Entailment tasks using verbalizations, with strong performance in zero-shot and few…

cs.CL20217 cited

MultiAzterTest: a Multilingual Analyzer on Multiple Levels of Language for Readability Assessment

Kepa Bengoetxea, Itziar Gonzalez-Dios

Readability assessment is the task of determining how difficult or easy a text is or which level/grade it has. Traditionally, language dependent readability formula have been used,…

cs.CL20213 cited

Multilingual Central Repository: a Cross-lingual Framework for Developing Wordnets

Xavier Gómez Guinovart, Itziar Gonzalez-Dios, Antoni Oliver +1

Language resources are necessary for language processing,but building them is costly, involves many researches from different areas and needs constant updating. In this paper, we d…

cs.CL2018

Validating WordNet Meronymy Relations using Adimen-SUMO

Javier Álvez, Itziar Gonzalez-Dios, German Rigau

In this paper, we report on the practical application of a novel approach for validating the knowledge of WordNet using Adimen-SUMO. In particular, this paper focuses on cross-chec…