Relation extraction (RE) involves identifying the relations between entities from underlying
content. RE serves as the foundation for many natural language processing (NLP) and …

The task of relation extraction is about identifying entities and relations among them in free
text for the enrichment of structured knowledge bases (KBs). In this paper, we present a …

Joint entity and relation extraction is an essential task in natural language processing and
knowledge graph construction. Existing approaches usually decompose the joint extraction …

Joint extraction of entities and relations from unstructured texts is a crucial task in information
extraction. Recent methods achieve considerable performance but still suffer from some …

Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …

We introduce a method for improving the structural understanding abilities of language
models. Unlike previous approaches that finetune the models with task-specific …

Joint extraction of entities and relations is an important task in natural language processing
(NLP), which aims to capture all relational triplets from plain texts. This is a big challenge …

Joint entity and relation extraction is an essential task in information extraction, which aims
to extract all relational triples from unstructured text. However, few existing works consider …