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 …

Streamflow forecasting is critical for real-time water resources management and flood early
warning. In this study, we introduce a novel attention-based Long-Short Term Memory …

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

NLP research is impeded by a lack of resources and awareness of the challenges presented
by underrepresented languages and dialects. Focusing on the languages spoken in …

Named entity recognition (NER) is the basis for many natural language processing (NLP)
tasks such as information extraction and question answering. The accuracy of the NER …

Abstract Named Entity Recognition is the process of identifying different entities in a given
context. Biomedical Named Entity Recognition (BNER) is the task of extracting chemical …

Abstract Information Extraction has been widely used to extract information from text. Named
Entity Recognition (NER) is one of the primary tasks of Information Extraction to extract …

In legal texts, named entity recognition (NER) is researched using deep learning models.
First, the bidirectional (Bi)‐long short‐term memory (LSTM)‐conditional random field (CRF) …

This research was based on the reality of the use of Indonesian language on social media
that was vulgar, destructive, full of blasphemy, scorn, sarcasm, and tended to be provocative …

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 …