In this paper, we introduce the NameRec* task, which aims to do highly accurate and fine-grained person name recognition. Traditional Named Entity Recognition models have good performance in recognising well-formed person names from text with consistent and complete syntax, such as news articles. However, there are rapidly growing scenarios where sentences are of incomplete syntax and names are in various forms such as user-generated contents and academic homepages. To address person name recognition in this context, we propose a fine-grained annotation scheme based on anthroponymy. To take full advantage of the fine-grained annotations, we propose a Co-guided Neural Network (CogNN) for person name recognition. CogNN fully explores the intra-sentence context and rich training signals of name forms. To better utilize 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 (IsBERT). IsBERT has an overlapped input processor, and an inter-sentence encoder with bidirectional overlapped contextual embedding learning and multi-hop inference mechanisms. To derive benefit from different documents with a diverse abundance of context, we propose an advanced Adaptive Inter-sentence BERT Model (Ada-IsBERT) to dynamically adjust the inter-sentence overlapping ratio to different documents. We conduct extensive experiments to demonstrate the superiority of the proposed methods on both academic homepages and news articles.
AWED-PIPER: Agents, Web Applications & Expert Detectors for Personally Identifiable Information Protection & Fine-grained Named Entity Recognition across 36 languages for 6.6 Billion Speakers
Indian Institute of Technology Guwahati（印度理工学院古瓦哈蒂分校）
Exploring prompts to elicit memorization in masked language model-based named entity recognition
University of Vienna（维也纳大学）；Faculty of Computer Science, University of Vienna（维也纳大学计算机科学学院）；UniVie Doctoral School Computer Science（维也纳大学计算机科学博士学院）；Faculty of Philological and Cultural Studies, University of Vienna（维也纳大学语言与文化研究学院）
No PUN Intended: Plausible Unknown Names for Person-Centred LLM Evaluation
Technische Universität Berlin（柏林工业大学）；Weizenbaum Institute for the Networked Society（魏茨曼网络社会研究所）；German Research Center for Artificial Intelligence (DFKI)（德国人工智能研究中心）
Inferring gender from name: a large scale performance evaluation study
Columbia Business School, Columbia University（哥伦比亚大学商学院）；Data Science Institute, Columbia University（哥伦比亚大学数据科学研究所）；Department of Sociology, Columbia University（哥伦比亚大学社会学系）
