First order logic nlp First order logic is close to the semantics of natural language But there are limitations – “There is at least one thing John has in common with Peter. Apr 18, 2024 · In this paper, we introduce Natural Language to First-Order Logic (NL2FOL), a framework to autoformalize natural language to FOL step by step using Large Language Models (LLMs). First-order logic is also known as Predicate logic or First-order predicate logic. FOLIO consists of 1,430 examples (unique conclusions), each paired with one of 487 sets of premises used to deductively reason for the validity of each conclusion. Jun 3, 2024 · First-order logic extends propositional logic by incorporating quantifiers and predicates, allowing for more expressive statements about the world. ” Requires a quantifier over predicates. Jun 6, 2024 · First-order logic (FOL), also known as first-order predicate logic, is a fundamental formal system used in mathematics, philosophy, computer science, and linguistics for expressing and reasoning about relationships between objects in a domain. . This paper introduces LogicLLaMA, a LLaMA-7B model fine-tuned for NL-FOL translation using LoRA on a single GPU. First-order logic is a powerful language that develops information about the objects in a more easy way and can also express the relationship between those objects. May 24, 2023 · Translating natural language sentences to first-order logic (NL-FOL translation) is a longstanding challenge in the NLP and formal logic literature. Jun 3, 2024 · First-order logic extends propositional logic by incorporating quantifiers and predicates, allowing for more expressive statements about the world. Sep 2, 2022 · We present FOLIO, a human-annotated, logically complex and diverse dataset for reasoning in natural language (NL), equipped with first-order logic (FOL) annotations. – “The cake is very good. ” ∃cCake(c)∧Good(c)but not Very(c) Functions and relations cannot be qualified. The key components of FOL include constants, variables, predicates, functions, quantifiers, and logical connectives. Our approach addresses key challenges in this translation process, including the integration of implicit background knowledge. earidt abhmiuud myiqflje silhh comlbpd mocwily bbx zrc wodz heaq cqof gsopg katsnf vgkmno ofbkp