Identification of Entailment and Contradiction Relations between Natural Language Sentences: A Neurosymbolic Approach

arXiv:2405.01259v1 Announce Type: cross
Abstract: Natural language inference (NLI), also known as Recognizing Textual Entailment (RTE), is an important aspect of natural language understanding. Most research now uses machine learning and deep learning to perform this task on specific datasets, meaning their solution is not explainable nor explicit. To address the need for an explainable approach to RTE, we propose a novel pipeline that is based on translating text into an Abstract Meaning Representation (AMR) graph. For this we use …

abstract arxiv cs.ai cs.cl datasets deep learning identification inference language language understanding machine machine learning meaning natural natural language relations research solution textual type understanding