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 …

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

Semi-supervised learning is a machine learning approach that integrates supervised and
unsupervised learning mechanisms. In this learning, most of labels in the training set are …

Penelitian yang dilakukan ini merupakan bagian dari text mining untuk klasifikasi konten
berita yang telah memiliki label berdasarkan katagori berita pada situs detik. com. Proses …

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; …

Traditional methods for named entity recognition (NER) require heavy feature engineering to
achieve high performance. We propose a novel neural network architecture for NER that …

Data classification tasks have been used in a wide range of problems in the Machine
Learning field and the different learning paradigms (supervised, unsupervised or semi …

Despite the long history of named-entity recognition (NER) task in the natural language
processing community, previous work rarely studied the task on conversational texts. Such …

In Indonesia, where the majority of the population is Muslim, one of the obligations of a
Muslim is zakat. To reduce illiteracy about zakat among Muslims, they need to have access …