Papers with multilingual transformer-based models
A Corpus for Sentence-Level Subjectivity Detection on English News Articles (2024.lrec-main)
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Francesco Antici, Federico Ruggeri, Andrea Galassi, Katerina Korre, Arianna Muti, Alessandra Bardi, Alice Fedotova, Alberto Barrón-Cedeño
| Challenge: | Existing approaches to spotting subjectivity require language-specific tools. |
| Approach: | They develop annotation guidelines for sentence-level subjectivity detection that are not limited to language-specific cues. |
| Outcome: | The proposed framework enables subjectivity detection in English and across other languages without relying on language-specific tools, such as lexicons or machine translation. |
X-Fact: A New Benchmark Dataset for Multilingual Fact Checking (2021.acl-short)
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| Challenge: | Several fact-checking initiatives, such as PolitiFact, expend manual labor to investigate and determine the truthfulness of viral statements. |
| Approach: | They propose a multilingual dataset for factual verification of naturally existing claims . they use a benchmark to evaluate the multilingual models . |
| Outcome: | The proposed model achieves an F-score of around 40%, suggesting it is a challenging benchmark for multilingual fact-checking models. |