Introduction e term “Named Entity”, now widely used in Natural Language Processing, was
coined for the Sixth Message Understanding Conference (MUC-6)(R. Grishman & Sundheim …

Named entity recognition is a crucial component of biomedical natural language processing,
enabling information extraction and ultimately reasoning over and knowledge discovery …

In this survey, we provide an overview of the literature on knowledge graphs (KGs) in the
context of information retrieval (IR). Modern IR systems can benefit from information …

Semantic annotation is a crucial part of achieving the vision of the Semantic Web and has
long been a research topic among various communities. The most challenging problem in …

摘要网络大数据是指“人, 机, 物” 三元世界在网络空间中交互, 融合所产生并在互联网上可获得的
大数据. 网络大数据中蕴含丰富的知识资源, 包括描述特定事物的实体, 刻画实体逻辑联系的关系 …

Named Entity Recognition (NER) aims to extract and to classify rigid designators in text such
as proper names, biological species, and temporal expressions. There has been growing …

Named entity recognition and classification research has so far mainly focused on
supervised techniques and has typically considered only small sets of classes with regard to …

Named entity recognition (NER), which focuses on the extraction of semantically meaningful
named entities and their semantic classes from text, serves as an indispensable component …