Abstract
We describe the outcome of the 2023 edition of the CheckThat!Lab at CLEF. We focus on subjectivity (Task 2), which has been proposed for the first time. It aims at fostering the technology for the identification of subjective text fragments in news articles. For that, we produced corpora consisting of 9,530 manually-annotated sentences, covering six languages —Arabic, Dutch, English, German, Italian, and Turkish. Task 2 attracted 12 teams, which submitted a total of 40 final runs covering all languages. The most successful approaches addressed the task using state-of-the-art multilingual transformer models, which were fine-tuned on language-specific data. Teams also experimented with a rich set of other neural architectures, including foundation models, zero-shot classifiers, and standard transformers, mainly coupled with data augmentation and multilingual training strategies to address class imbalance. We publicly release all the datasets and evaluation scripts, with the purpose of promoting further research on this topic.
| Original language | English |
|---|---|
| Pages (from-to) | 236-249 |
| Number of pages | 14 |
| Journal | CEUR Workshop Proceedings |
| Volume | 3497 |
| Publication status | Published - Sept 2023 |
| Event | 24th Working Notes of the Conference and Labs of the Evaluation Forum, CLEF-WN 2023 - Thessaloniki, Greece Duration: 18 Sept 2023 → 21 Sept 2023 |
Fingerprint
Dive into the research topics of 'Overview of the CLEF-2023 CheckThat! Lab: Task 2 on Subjectivity in News Articles'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver