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

Named entity recognition in the Indonesian language has significantly developed in recent
years. However, it still lacks standardized publicly available corpora; a small dataset is …

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; …

Flood natural disasters that often occur in Jakarta have a bad impact on many sectors.
Countermeasures, fast action, and monitoring need to be done to minimize the impact that …

Coreference resolution is an NLP task to find out whether the set of referring expressions
belong to the same concept in discourse. A multi-pass sieve is a deterministic coreference …

Developing NER system using machine learning approach needs a big dataset which is
costly if the dataset labeling is done manually. The previous works proposed methods in …

Named entity recognition (NER) is fundamental to natural language processing (NLP). Most
state-of-the-art researches on NER are based on pre-trained language models (PLMs) or …

Abstract Named Entity Recognition (NER) is a part of Natural Language Processing (NLP)
that acts to recognize the existing word entity in the document. By using NER, it is possible to …

Indonesian is classified as underrepresented in the Natural Language Processing (NLP)
field, despite being the tenth most spoken language in the world with 198 million speakers …