Abstract: Complex multi-hop logical queries are a highly regarded problem in the field of knowledge graphs. The challenge lies in whether the query model can effectively rely on observed entities and ...

Abstract: Document-level relation extraction is one of the foundational tasks for constructing an equipment domain knowledge graph. However, existing document-level relation extraction models in the ...

In this paper, we present a novel method named RECON, that automatically identifies relations in a sentence (sentential relation extraction) and aligns to a knowledge graph (KG). RECON uses a graph ...

Shanghai, China, April 11, 2022 (GLOBE NEWSWIRE) -- Through continuous data mining and analysis for web 3 applications, Relation intends to launch its multi-chain social graph, which will provide ...

We present a novel method for relation extraction (RE) from a single sentence, mapping the sentence and two given entities to a canonical fact in a knowledge graph (KG). Especially in this presumed ...

Large Language Models (LLMs) have set new benchmarks in natural language processing, but their tendency for hallucination—generating inaccurate outputs—remains a critical issue for knowledge-intensive ...

Implementation of Our Paper "Multimodal Relation Extraction with Efficient Graph Alignment" in ACM Multimedia 2021. This Implementation is based on the OpenNRE. The Overall Framework of Our Proposed ...

This is a preview. Log in through your library . Abstract This paper reports the success of the Davis-Leinhardt graph theoretical model in predicting structural trends in a data bank of 742 sociograms ...