Football is one of the most popular sports in the world, arousing a wide range of research
topics related to its off-and on-the-pitch performance. The extraction of football entities from …

Abstract Named Entity Recognition (NER) is a fundamental but crucial task in natural
language processing (NLP) and big data analysis, with wide application range. NER for rice …

Our study focuses on Traditional Chinese Medical (TCM) named entity recognition (NER),
which involves identifying and extracting specific entity names from TCM record. This task …

This study explores advancements in Arabic named entity recognition (NER) through the
application of active learning techniques and the utilization of large language models …

The purpose of this work is to investigate the problem of detecting transportable borrowings
and text reuse. The article proposes a monolingual solution to this problem: translating the …

Abstract Named Entity Recognition (NER) is a fundamental task of natural language
processing (NLP) that focuses on the identification and classification of named entities such …

Background: Unstructured text data (UTD) in electronic medical records (EMRs) may be
challenging to use because of noise including spelling errors, abbreviations, and …

In the current modern era, storing data information from images or documents to a computer
drive is in high demand as it can be utilized the information for various purposes, especially …

Retracted: A New Rule‐Based Approach for Classical Arabic in Natural Language Processing
Page 1 Retraction Retracted: A New Rule-Based Approach for Classical Arabic in Natural …