Named entity recognition (NER) is the task to identify mentions of rigid designators from text
belonging to predefined semantic types such as person, location, organization etc. NER …

The rapid development of data and artificial intelligence technology has introduced new
opportunities and challenges to aeronautical information intelligence. However, there are …

Natural language processing (NLP) is crucial in the current processing of data because it
takes into account many sources, formats, and purposes of data as well as information from …

This survey covers fifteen years of research in the Named Entity Recognition and
Classification (NERC) field, from 1991 to 2006. We report observations about languages …

This thesis describes a novel statistical named-entity (ie “proper name”) recognition system
known as “MENE”(Maximum Entropy Named Entity). Named entity (NE) recognition is a form …

In this work, we propose a novel weighted distributional semantic model for unsupervised
Named Entity Recognition (NER) in domain specific texts, specifically focusing on …

(57) ABSTRACT A company may desire to maintain a quality level for messages sent by
customer service representatives to cus tomers. The company may receive a message input …

(57) ABSTRACT A language model may be used in a variety of natural language processing
tasks, such as speech recognition, machine translation, sentence completion, part-of-speech …

Named entity recognition as a fundamental task plays a crucial role in accomplishing some
of the tasks and applications in natural language processing. In the age of Internet …

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 …