OntoNotes Annotation

OntoNotes annotation is a crucial resource for natural language processing (NLP), providing a large, annotated corpus used to train and evaluate models for tasks like named entity recognition (NER) and coreference resolution. Current research focuses on improving annotation accuracy by identifying and correcting errors, addressing biases in existing datasets (e.g., towards American English), and developing more efficient training methods through targeted data selection. These efforts aim to enhance the robustness and generalizability of NLP models, ultimately leading to more accurate and reliable applications across diverse languages and domains.