Information extraction (IE) is a challenging task, particularly when dealing with highly
heterogeneous data. State-of-the-art data mining technologies struggle to process …

Cloud ERP systems are the recent trend of ERP systems and Cloud ERP is experiencing
tremendous growth as well as it is considered as an alternative to local ERP systems due to …

Named entity recognition (NER) is a key component of many natural language processing
(NLP) applications. The majority of advanced research, however, has not been widely …

Precise logistic support is essential after a disaster occurs. It must be timely, accurate,
targeted, and based on existing needs. However, obtaining sufficient and accurate …

Named entity recognition (NER) is a crucial component of various natural language
processing (NLP) applications, particularly in healthcare. It involves accurately identifying …

In the era of industrial revolution, mobile application becomes the heart of the intelligent
system that integrates Artificial Intelligent (AI) system for autonomous and internet-of-things …

Named entity recognition (NER) is one of the preprocessing stages in natural language
processing (NLP), which functions to detect and classify entities in the corpus. NER results …

This paper proposes a new framework for crisis-map** with flood prediction model based
on the crowdsourcing data. Crisis-map** is still at infancy stage development and offers …

ABSTRACT Named Entity Recognition (NER) research based on rules is widely investigated
and is used in various languages mainly English. However, the English NER rules are …

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 …