arXiv Open Access 2022

Synthetic Text Detection: Systemic Literature Review

Jesus Guerrero Izzat Alsmadi

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Abstrak

Within the text analysis and processing fields, generated text attacks have been made easier to create than ever before. To combat these attacks open sourcing models and datasets have become a major trend to create automated detection algorithms in defense of authenticity. For this purpose, synthetic text detection has become an increasingly viable topic of research. This review is written for the purpose of creating a snapshot of the state of current literature and easing the barrier to entry for future authors. Towards that goal, we identified few research trends and challenges in this field.

Topik & Kata Kunci

cs.CL

Penulis (2)

Jesus Guerrero

Izzat Alsmadi

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Guerrero, J., Alsmadi, I. (2022). Synthetic Text Detection: Systemic Literature Review. https://arxiv.org/abs/2210.06336

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓