Malaysian English News Decoded: A Linguistic Resource for Named Entity and Relation Extraction 事件

Malaysian English News Decoded: A Linguistic Resource for Named Entity and Relation Extraction arXiv:2402.14521v2 Announce Type: replace Abstract: Standard English and Malaysian English exhibit notable differences, posing challenges for natural language processing (NLP) tasks on Malaysian English. Unfortunately, most of the existing datasets are mainly based on standard English and therefore inadequate for improving NLP tasks in Malaysian English. An experiment using state-of-the-art Named Enti