Information Extraction (IE) is a sub discipline of Artificial Intelligence. IE identifies information
in unstructured information source that adheres to predefined semantics ie people, location …

The scientific and technical field of computational linguistics seeks to comprehend spoken
and written language from a computational standpoint. The way of describing rules and …

Abstract Named Entity Recognition (NER) is a process of identification and classification of
names into pre-defined categories-person, location, organization, date, time and others …

ABSTRACT Named Entity Recognition is a prior task in Natural Language Processing.
Named Entity Recognition is a sub task of information extraction and it identifies and …

The present work describes the automatic recognition of named entities based on language
independent and dependent features. Margin Infused Relaxed Algorithm is applied for the …

Named Entity Recognition (NER) is one of the major subtasks that have to be solved in most
Natural Language Processing related tasks. However it is very much challenging to build a …

This paper describes a named-entity-recognition (NER) system for the Hindi language that
uses two methodologies: an existing baseline maximum entropy-based named-entity (BL …

Named Entity Recognition (NER) is a task to discover the Named Entities (NEs) in a
document and then categorize these NEs into diverse Named Entity classes such as Name …

The task of finding and classifying proper nouns in natural language text is the core of most
Named Entity Recognition (NER) systems. The NER problem has received much attention …

The process of identification of Named Entities (NEs) in a given document and then there
classification into different categories of NEs is referred to as Named Entity Recognition …