Ece Lara Kilic


2024

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Kathlalu at SemEval-2024 Task 8: A Comparative Analysis of Binary Classification Methods for Distinguishing Between Human and Machine-generated Text
Lujia Cao | Ece Lara Kilic | Katharina Will
Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)

This paper investigates two methods for constructing a binary classifier to distinguish between human-generated and machine-generated text. The main emphasis is on a straightforward approach based on Zipf’s law, which, despite its simplicity, achieves a moderate level of performance. Additionally, the paper briefly discusses experimentation with the utilization of unigram word counts.