Before revision:  However, the inter-sentence context and implicit relations, which are extremely essential for recognizing person names in long documents, are not captured. To address this issue, we propose a Multi-inference Overlapped BERT Model ( NameRec*)through an overlapped input processor, and an inter-sentence encoder with bidirectional overlapped contextual embedding learning and multiple inference mechanisms.
After revision:  However, the inter-sentence context and implicit relations, which are extremely essential for recognizing person names in long documents, we further propose an Inter-sentence BERT Model ( NameRec*)through an overlapped input processor, and an inter-sentence encoder with bidirectional overlapped contextual embedding learning and multiple inference mechanisms.