arXiv Open Access 2024

Neurosymbolic Methods for Rule Mining

Agnieszka Lawrynowicz Luis Galarraga Mehwish Alam Berenice Jaulmes Vaclav Zeman +1 lainnya

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Abstrak

In this chapter, we address the problem of rule mining, beginning with essential background information, including measures of rule quality. We then explore various rule mining methodologies, categorized into three groups: inductive logic programming, path sampling and generalization, and linear programming. Following this, we delve into neurosymbolic methods, covering topics such as the integration of deep learning with rules, the use of embeddings for rule learning, and the application of large language models in rule learning.

Topik & Kata Kunci

cs.AI

Penulis (6)

Agnieszka Lawrynowicz

Luis Galarraga

Mehwish Alam

Berenice Jaulmes

Vaclav Zeman

Tomas Kliegr

Format Sitasi

APA MLA BibTeX

Lawrynowicz, A., Galarraga, L., Alam, M., Jaulmes, B., Zeman, V., Kliegr, T. (2024). Neurosymbolic Methods for Rule Mining. https://arxiv.org/abs/2408.05773

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Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓