AI RESEARCH
A Multilingual Dataset and Empirical Validation for the Mutual Reinforcement Effect in Information Extraction
arXiv CS.CL
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ArXi:2407.10953v4 Announce Type: replace The Mutual Reinforcement Effect (MRE) describes a phenomenon in information extraction where word-level and sentence-level tasks can mutually improve each other when jointly modeled. While prior work has reported MRE in Japanese, its generality across languages and task settings has not been empirically validated, largely due to the lack of multilingual MRE datasets. To address this limitation, we