Papers with rule-based framework

2 papers
End-to-end Learning of Logical Rules for Enhancing Document-level Relation Extraction (2024.acl-long)

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Challenge: Document-level relation extraction (DocRE) aims to extract relations between entities in a document.
Approach: They propose a rule-based framework that jointly learns DocRE and logical rules . they parameterize a Rule reasoning module to simulate the inference of logical rule .
Outcome: The proposed framework improves DocRE models by a significant margin on four benchmark datasets.
DerivBase.Ru: a Derivational Morphology Resource for Russian (2020.lrec-1)

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Challenge: DerivBase.Ru is a high-coverage derivational morphology resource for Russian language that can be used for many tasks such as paraphrases and plagiarism detection.
Approach: They propose a rule-based framework for deriving Russian words using a derivational morphology resource called DerivBase.Ru.
Outcome: The proposed framework can be used to derivate words from a dictionary in Russian and German.

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