In this paper, a pre-identification method for Chinese named entity recognition is proposed. Internal information of entity name like family name, first name in person name, feature word in place name and organization name do not needed. Through entity name guessing based on context keywords, pre-identification is realized. Definition of bidirectional potential entity name recognition, rough co...

In this project, we investigte the hierarchical name entity recognition problem implement three modesl to empirically verify that it is probable to utilize the hierarchical relationship between entity types to improve the tranditional NER task. Specifically, our three models are all non-trivial extensions of the classical MEMM classifier. We believe some of the ideas can be conveniently adapted...

Named Entity Recognition (NER) is an important task in knowledge extraction, which targets extracting structural information from unstructured text. To fully employ the prior-knowledge of pre-trained language models, some research works formulate NER into machine reading comprehension form (MRC-form) to enhance their model generalization capability commonsense knowledge. However, this transform...

Named entity recognition (NER) is nowadays an important task, which is responsible for the identification of proper names in text and their classification as different types of named entity such as people, locations, and organizations. In this paper, we present our attempt at the recognition and extraction of the most important proper name entity, that is, the person name, for the Arabic langua...

Bio-entity name recognition is the key step for information extraction from biomedical literature. This paper presents a dictionary-based bio-entity name recognition approach. The approach expands the bio-entity name dictionary via the Abbreviation Definitions identifying algorithm, improves the recall rate through the improved edit distance algorithm and adopts some post-processing methods inc...

Although Name Entity Recognition (NER) has been a well-studied problem in recent years, it is seldom applied to informal document, such as E-mail message and Newsgroup postings. Unlike the formal text, which is well-structured and with seldom error, the name entities are much more difficult to recognize in informal one. The key problems for informal text are that it has unstructured properties,...