Named entity recognition (NER) is one of the tasks of natural language processing (NLP). In
view of the problem that the traditional character representation ability is weak and the …

We carried out an experiment to extract ecological‐restoration‐technology‐related entities
(ie, entities related to the fragile ecological remediation technology of desertification, rocky …

The challenge of the Named Entity Recognition on the domain Thai Poem Klon-Suphap
comprise of incomplete sentences, prosody, word transformation and art in language. In this …

In this paper, we propose a method to clean up the existing named entity (NE) corpus and
verify its consistency in creating a model for the named entity recognition (NER) task …

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 …

Abstract Knowledge graph technology can understand the fragmented massive text data
and deeply excavate the hidden military knowledge. It is one of the effective technical ways …

ABSTRACT Named Entity Recognition (NER) in the Thai language is a relatively
challenging task because the Thai language does not have an explicit word boundary. This …

To fully explore the intrinsic correlation value of massive data, comprehensively and
accurately construct the knowledge graph in the field of early warning equipment, a …

Tang poetry is an important aspect of ancient Chinese culture. Given that Tang poetry has
unique features in text structure, how to use entity recognition, knowledge graph and other …