Groningen Team A at SemEval-2024 Task 8: Human/Machine Authorship Attribution Using a Combination of Probabilistic and Linguistic Features
Huseyin Alecakir, Puja Chakraborty, Pontus Henningsson, Matthijs Van Hofslot, Alon Scheuer
Abstract
Our approach primarily centers on feature-based systems, where a diverse array of features pertinent to the text’s linguistic attributes is extracted. Alongside those, we incorporate token-level probabilistic features which are fed into a Bidirectional Long Short-Term Memory (BiLSTM) model. Both resulting feature arrays are concatenated and fed into our final prediction model. Our method under-performed compared to the baseline, despite the fact that previous attempts by others have successfully used linguistic features for the purpose of discerning machine-generated text. We conclude that our examined subset of linguistically motivated features alongside probabilistic features was not able to contribute almost any performance at all to a hybrid classifier of human and machine texts.- Anthology ID:
- 2024.semeval-1.269
- 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:
- 1926–1932
- Language:
- URL:
- https://aclanthology.org/2024.semeval-1.269
- DOI:
- Cite (ACL):
- Huseyin Alecakir, Puja Chakraborty, Pontus Henningsson, Matthijs Van Hofslot, and Alon Scheuer. 2024. Groningen Team A at SemEval-2024 Task 8: Human/Machine Authorship Attribution Using a Combination of Probabilistic and Linguistic Features. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 1926–1932, Mexico City, Mexico. Association for Computational Linguistics.
- Cite (Informal):
- Groningen Team A at SemEval-2024 Task 8: Human/Machine Authorship Attribution Using a Combination of Probabilistic and Linguistic Features (Alecakir et al., SemEval 2024)
- PDF:
- https://preview.aclanthology.org/corrections-2024-06/2024.semeval-1.269.pdf