Named Entity Recognition (NER) is a subsequence of words in a document that seeks to
detect and classify entities into pre-defined categories such as name of the person …

针对先进制造业多模态异构数据并存导致知识抽取和表示困难等问题, 命名实体识别方法成为
当前的研究热点. 综述了工业上常用的命名实体识别方法, 首先介绍了传统的命名实体识别方法 …

Abstract Named Entity Recognition and Classification (NER) serves as a foundation for
many natural language processing tasks such as question answering, text summarization …

Extracting entities and their relations is to detect entity mentions and recognize the semantic
relation between them. Most of traditional methods are feature-based and treat this task as a …

Abstract Named Entity Recognition (NER) also known as entity extraction plays an important
role in identifying and classifying the named entities into different categories like name of …

In Social Media, code mixing and code switching take place where users often communicate
in two or more languages. The state-of-the-art techniques fail when language identification …

ABSTRACT Named Entity Recognition (NER) is an application of Natural Language
Processing (NLP). NER is a activity of Information Extraction. NER is a task used for …

Abstract In Natural Language Processing, named entity recognition (NER) is a task of (NLP)
that tries to automatically identify and annotate Named Entities in text, such as people …

Named Entity Recognition and Classification is a process of identification of proper nouns in
the text and classification of those nouns into certain predefined categories like person …

In the Thai language, named entity can be used with or without a prefix or an indication of
word. This may cause confusion between named entity and other types of noun. However, a …