Abstract
Our team tackled the SemEval-2024 Task 6, focusing on identifying fluent over-generation hallucinations in NLP outputs. We proposed a pragmatic solution using a logistic regression classifier and a feed-forward ANN, harnessing SBERT embeddings for feature extraction.- Anthology ID:
- 2024.semeval-1.237
- Volume:
- Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)
- Month:
- June
- Year:
- 2024
- Address:
- Mexico City, Mexico
- Editors:
- Atul Kr. Ojha, A. Seza Doğruöz, Harish Tayyar Madabushi, Giovanni Da San Martino, Sara Rosenthal, Aiala Rosá
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1663–1666
- Language:
- URL:
- https://aclanthology.org/2024.semeval-1.237
- DOI:
- Cite (ACL):
- Béla Rösener, Hong-bo Wei, and Ilinca Vandici. 2024. Team Bolaca at SemEval-2024 Task 6: Sentence-transformers are all you need. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 1663–1666, Mexico City, Mexico. Association for Computational Linguistics.
- Cite (Informal):
- Team Bolaca at SemEval-2024 Task 6: Sentence-transformers are all you need (Rösener et al., SemEval 2024)
- PDF:
- https://preview.aclanthology.org/retraction/2024.semeval-1.237.pdf