EnriCo: Enriched Representation and Globally Constrained Inference for Entity and Relation Extraction

arXiv:2404.12493v1 Announce Type: new
Abstract: Joint entity and relation extraction plays a pivotal role in various applications, notably in the construction of knowledge graphs. Despite recent progress, existing approaches often fall short in two key aspects: richness of representation and coherence in output structure. These models often rely on handcrafted heuristics for computing entity and relation representations, potentially leading to loss of crucial information. Furthermore, they disregard task and/or dataset-specific constraints, resulting in output structures that lack coherence. In our …

abstract applications arxiv construction cs.ai cs.cl extraction graphs inference key knowledge knowledge graphs pivotal progress representation role type