1 code implementation • LREC 2022 • Gorka Urbizu, Iñaki San Vicente, Xabier Saralegi, Rodrigo Agerri, Aitor Soroa
Natural Language Understanding (NLU) technology has improved significantly over the last few years and multitask benchmarks such as GLUE are key to evaluate this improvement in a robust and general way.
no code implementations • EACL (LTEDI) 2021 • Iñaki San Vicente, Xabier Saralegi, Nerea Zubia
This papers presents a platform for monitoring press narratives with respect to several social challenges, including gender equality, migrations and minority languages.
no code implementations • LaTeCHCLfL (COLING) 2022 • Muitze Zulaika, Xabier Saralegi, Iñaki San Vicente
In the news, statements from information sources are often quoted, made by individuals who interact in the news.
1 code implementation • LREC 2020 • Rodrigo Agerri, Iñaki San Vicente, Jon Ander Campos, Ander Barrena, Xabier Saralegi, Aitor Soroa, Eneko Agirre
This is suboptimal as, for many languages, the models have been trained on smaller (or lower quality) corpora.
no code implementations • 28 Sep 2018 • Iñaki San Vicente, Xabier Saralegi, Rodrigo Agerri
Crawled data is processed by means of the EliXa Sentiment Analysis system.
no code implementations • SEMEVAL 2015 • Iñaki San Vicente, Xabier Saralegi, Rodrigo Agerri
This paper presents a supervised Aspect Based Sentiment Analysis (ABSA) system.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
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no code implementations • 6 Feb 2017 • Iñaki San Vicente, Rodrigo Agerri, German Rigau
This paper presents a simple, robust and (almost) unsupervised dictionary-based method, qwn-ppv (Q-WordNet as Personalized PageRanking Vector) to automatically generate polarity lexicons.