As the significance of data continues to grows, so does the importance of data analysis
methods. Various models are currently being applied, and new models are being proposed …

A name entity (NE) is a proper name that designates a person, location, or organization. For
humans, named entity recognition (NER) is a straightforward process insofar as many …

Named entity recognition (NER) is a natural language processing tool for information
extraction from unstructured text data such as e-mails, newspapers, blogs, etc. NER is the …

Developments in advanced innovations have prompted the generation of an immense
amount of digital information. The data deluge contains hidden information that is difficult to …

Named Entity Recognition (NER) is an essential sub-task for many important tasks in
software engineering (SE), such as automated requirement analysis, opinion mining …

With the development of Web2. 0, huge amount of text information is produced. It's important
to extract useful information from data. This paper systematically analyzes the main research …

Named Entity Recognition (NER) is a natural language processing task which aims to detect
persons, locations, organizations, and similar useful attributes in a given text. There are …

Name entity recognition (NER) is an important subtask in natural language processing.
Various NER systems have been developed in the last decade. They may target for different …

This paper describes how to extract, for the Arabic language, named entities and topics from
news articles. Indeed, there is a lack of high quality tools for Named Entity Recognition …

Identifying valuable information within the extensive texts documented in natural language
presents a significant challenge in various disciplines. Named Entity Recognition (NER), as …