Language Resources and Evaluation 2023 — papers
The works of Language Resources and Evaluation published in 2023 that our library holds (publisher: Springer Science+Business Media): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.
Most cited papers
- Democratizing neural machine translation with OPUS-MT ↗Jörg Tiedemann, Mikko Aulamo, Daria Bakshandaeva et al.65 citations
- Comparative performance of ensemble machine learning for Arabic cyberbullying and offensive language detection ↗Marwa Khairy, Tarek M. Mahmoud, Ahmed Omar et al.44 citations
- Automatic genre identification: a survey ↗Taja Kuzman, Nikola Ljubešić33 citations
- NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese ↗Sidney Evaldo Leal, Magali Sanches Duran, Carolina Scarton et al.32 citations
- SetembroBR: a social media corpus for depression and anxiety disorder prediction ↗Wesley Ramos dos Santos, Rafael Lage de Oliveira, Ivandré Paraboni30 citations
- UHated: hate speech detection in Urdu language using transfer learning ↗Muhammad Umair Arshad, Raza Ali, Mirza Omer Beg et al.28 citations
- OLID-BR: offensive language identification dataset for Brazilian Portuguese ↗Douglas Trajano, Rafael H. Bordini, Renata La Rocca Vieira25 citations
- Label modification and bootstrapping for zero-shot cross-lingual hate speech detection ↗Irina Bigoulaeva, Viktor Hangya, Iryna Gurevych et al.22 citations
- Evaluation of a rule-based approach to automatic factual question generation using syntactic and semantic analysis ↗Angelina Gašpar, Ani Grubišić, Ines Šarić‐Grgić18 citations
- FinnSentiment: a Finnish social media corpus for sentiment polarity annotation ↗Krister Lindén, Tommi Jauhiainen, Sam Hardwick18 citations
All works of the year (74)
- Democratizing neural machine translation with OPUS-MT ↗Jörg Tiedemann, Mikko Aulamo, Daria Bakshandaeva et al.65 citations
- Comparative performance of ensemble machine learning for Arabic cyberbullying and offensive language detection ↗Marwa Khairy, Tarek M. Mahmoud, Ahmed Omar et al.44 citations
- Automatic genre identification: a survey ↗Taja Kuzman, Nikola Ljubešić33 citations
- NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese ↗Sidney Evaldo Leal, Magali Sanches Duran, Carolina Scarton et al.32 citations
- SetembroBR: a social media corpus for depression and anxiety disorder prediction ↗Wesley Ramos dos Santos, Rafael Lage de Oliveira, Ivandré Paraboni30 citations
- UHated: hate speech detection in Urdu language using transfer learning ↗Muhammad Umair Arshad, Raza Ali, Mirza Omer Beg et al.28 citations
- OLID-BR: offensive language identification dataset for Brazilian Portuguese ↗Douglas Trajano, Rafael H. Bordini, Renata La Rocca Vieira25 citations
- Label modification and bootstrapping for zero-shot cross-lingual hate speech detection ↗Irina Bigoulaeva, Viktor Hangya, Iryna Gurevych et al.22 citations
- Evaluation of a rule-based approach to automatic factual question generation using syntactic and semantic analysis ↗Angelina Gašpar, Ani Grubišić, Ines Šarić‐Grgić18 citations
- FinnSentiment: a Finnish social media corpus for sentiment polarity annotation ↗Krister Lindén, Tommi Jauhiainen, Sam Hardwick18 citations
- MarIA and BETO are sexist: evaluating gender bias in large language models for Spanish ↗Ismael Garrido-Muñoz, Fernando J. Martínez-Santiago, Arturo Montejo‐Ráez16 citations
- Assessment of pragmatic abilities and cognitive substrates (APACS) brief remote: a novel tool for the rapid and tele-evaluation of pragmatic skills in Italian ↗Luca Bischetti, Chiara Pompei, Biagio Scalingi et al.15 citations
- Hope speech detection in Spanish ↗Daniel García-Baena, Miguel Ángel García Cumbreras, Salud María Jiménez-Zafra et al.15 citations
- NEREL: a Russian information extraction dataset with rich annotation for nested entities, relations, and wikidata entity links ↗Natalia Loukachevitch, Ekaterina Artemova, Tatiana Viktorovna Batura et al.15 citations
- OMCD: Offensive Moroccan Comments Dataset ↗Kabil Essefar, Hassan Ait Baha, Abdelkader El Mahdaouy et al.14 citations
- An eye-tracking-with-EEG coregistration corpus of narrative sentences ↗Stefan L. Frank, Anna Aumeistere13 citations
- The Visual Language Research Corpus (VLRC): an annotated corpus of comics from Asia, Europe, and the United States ↗Neil Cohn, Bruno Cardoso, Bien Klomberg et al.11 citations
- PolitePEER: does peer review hurt? A dataset to gauge politeness intensity in the peer reviews ↗Prabhat Kumar Bharti, Meith Navlakha, Mayank Agarwal et al.10 citations
- The limitations of irony detection in Dutch social media ↗Aaron Maladry, Els Lefever, Cynthia Van Hee et al.10 citations
- Content-free speech activity records: interviews with people with schizophrenia ↗Francesco Cangemi, Martine Grice, Alicia Janz et al.9 citations
- CsFEVER and CTKFacts: acquiring Czech data for fact verification ↗Herbert Ullrich, Jan Drchal, Martin Rýpar et al.9 citations
- Regionalized models for Spanish language variations based on Twitter ↗Eric S. Téllez, Daniela Moctezuma, Sabino Miranda‐Jiménez et al.9 citations
- The robotic-surgery propositional bank ↗Marco Bombieri, Marco Rospocher, Simone Paolo Ponzetto et al.9 citations
- Beyond plain toxic: building datasets for detection of flammable topics and inappropriate statements ↗Nikolay Babakov, Varvara Logacheva, Alexander Panchenko8 citations
- Data augmentation strategies to improve text classification: a use case in smart cities ↗Luciana Regina Bencke, Viviane P. Moreira8 citations
See all 74 papers in Language Resources and Evaluation 2023 — papers →
Works with our summary in our library (1)
- Sentiment Analysis Dataset in Moroccan Dialect: Bridging the Gap Between Arabic and Latin Scripted dialectLanguage Resources and EvaluationMouad Jbel, Mourad Jabrane, Imad Hafidi, et al.2023 · 35 citations
Top topics
Sentiment & emotion (1)Semitic languages (1)
Fields
Arts and Humanities (1)Computer Science (1)
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