Named Entity Recognition (NER) is a foundational NLP task that aims to provide class labels
like Person, Location, Organisation, Time, and Number to words in free text. Named Entities …

Abstract Named Entity Recognition (NER) task involves locating Named Entities (NEs) in
free text and classifying them into predefined categories such as Person Name, Location …

Named entity recognition (NER) is a fundamental task of natural language processing
(NLP). However, most state-of-the-art research is mainly oriented to high-resource …

In recent years, named entity recognition (NER) tasks in the Indonesian language have
undergone extensive development. There are only a few corpora for Indonesian NER; …

Abstract Named Entity Recognition (NER) is a natural language processing (NLP) task that
involves assigning labels like Person, Location, and Organization to words in text. While …

Named Entity Recognition (NER) is a basic NLP task and finds major applications in
conversational and search systems. It helps us identify key entities in a sentence used for …

This paper presents the first Thai Nested Named Entity Recognition (N-NER) dataset. Thai N-
NER consists of 264,798 mentions, 104 classes, and a maximum depth of 8 layers obtained …

The availability of large amounts of computer-readable textual data and hardware that can
process the data has shifted the focus of knowledge projects towards deep learning …

Abstract Named Entity Recognition (NER) is a basic NLP task and finds major applications
in conversational and search systems. It helps us identify key entities in a sentence used for …

Named Entity Recognition (NER) is essential for some Natural Language Processing (NLP)
tasks. Previous researchers gave a survey of NER in statistical machine learning era …