MixRED: A Mix-lingual Relation Extraction Dataset

arXiv:2403.15696v1 Announce Type: cross
Abstract: Relation extraction is a critical task in the field of natural language processing with numerous real-world applications. Existing research primarily focuses on monolingual relation extraction or cross-lingual enhancement for relation extraction. Yet, there remains a significant gap in understanding relation extraction in the mix-lingual (or code-switching) scenario, where individuals intermix contents from different languages within sentences, generating mix-lingual content. Due to the lack of a dedicated dataset, the effectiveness of existing relation extraction models in …

abstract applications arxiv code cross-lingual cs.ai cs.cl dataset extraction gap language language processing natural natural language natural language processing processing research type understanding world