In the age of the Internet of Things, online data have witnessed a significant growth in terms
of volume and diversity, and research into information retrieval has become one of the …

Current research on knowledge graph construction is focused chiefly on general-purpose
fields, whereas constructing knowledge graphs in vertically segmented professional fields …

As the significant subtask of information extraction, relation extraction (RE) aims to identify
and classify semantic relations between pairs of entities and is widely adopted as the …

Abstract In the Industry 4.0/5.0 era, information integration is employed to fuse information
from different companies to facilitate interoperation. However, information extraction is an …

This research aims to develop platform integration, service discovery, and recommendation
system within the Internet of Things (IoT) industry. It accomplishes this endeavor through the …

The current popular approach to the extraction of document-level relations is mainly based
on either a graph structure or serialization model method for the inference, but the graph …

Document-level relation extraction (Doc-level RE) is a more practical and challenging task,
which provides a new perspective on obtaining factual knowledge from the more complex …

Relation extraction aims to identify the relation between two entities. Early works on relation
extraction are performed within a sentence. Numerous entity pairs with relations are …

In today's big data era, there are a large number of unstructured information resources on
the web. Natural language processing researchers have been working hard to figure out …

Contextual Relation Extraction (CRE) is mainly used for constructing a knowledge graph
with a help of ontology. It performs various tasks such as semantic search, query answering …