Although the Indonesian language is spoken by almost 200 million people and the 10th
most spoken language in the world, it is under-represented in NLP research. Previous work …

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 …

In this paper, we describe the implementation of Named-Entity Recognition (NER) for
Indonesian Language by using various deep learning approaches, yet mainly focused on …

Here, we describe our effort in building Indonesian Named Entity Recognition (NER) for
newspaper article with 15 classes which is larger number of class type compared to existing …

Named Entity Recognition (NER) is well-known as the core component of question
answering system. NER has traditionally been developed as a component for information …

Researches on Indonesian named entity (NE) tagger have been conducted since years ago
but without using deep learning. Most researches employed traditional machine learning …

Crime Information Extraction is a task to extract some entities in the crime domain. Previous
researchers have studied this task using rules to extract some crime entities in the English …

Abstract A Named-Entity Recognition (NER) is part of the process in Text Mining used for
information extraction. This NER tool can be used to assist user in identifying and detecting …

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; …

Named Entity Recognition or NER is one of the sub-research field of Information Extraction
which can be used for machine translation, question answering, semantic web, etc. One of …