Multi-head selection is a reasonable way of extracting relational facts. Though effective, it
ignores the interdependencies of relations and disregards the contextual information. In this …

Current clustering-based open relation extraction (OpenRE) methods usually apply
clustering algorithms on top of pre-trained language models. However, this practice has …

Featured Application This paper proposes a method that can increase the connectivity of the
knowledge graph when it is constructed and improve usability, eg, retrieving more …

Relation extraction is an important task in the field of natural language processing. Previous
works mainly focus on adopting pipeline methods or joint methods to model relation …

Despite widespread applications of knowledge graphs (KGs) in various tasks such as
question answering and intelligent conversational systems, existing KGs face two major …

Relation Extraction (RE) aims at recognizing the relation between pairs of entities mentioned
in a text. Advances in LLMs have had a tremendous impact on NLP. In this work, we propose …