coreference resolution ↔ Large Language Models

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related 2.32 — strongly supporting 4 facts

Large Language Models are utilized as a core component in Knowledge Graph construction pipelines to perform tasks such as coreference resolution, as evidenced by the CoDe-KG pipeline [1], [2] and the general LLM-augmented KG process [3], [4].

Facts (4)

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claimThe authors of the paper 'Automated Knowledge Graph Construction using Large Language Models' introduced CoDe-KG, an open-source, end-to-end pipeline designed for extracting sentence-level knowledge graphs by combining robust coreference resolution.

A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com Springer 1 fact

procedureThe LLM-augmented KG process is structured into two principal stages: (1) synthesizing KGs by applying LLMs to perform coreference resolution, named entity recognition, and relationship extraction to relate entities from input documents; (2) performing tasks on the constructed KG using LLMs, including KG completion to fill gaps, KG question answering to query responses, and KG text generation to develop descriptions of nodes.

(PDF) Automated Knowledge Graph Construction using Large ... researchgate.net ResearchGate 1 fact

claimCoDe-KG is an open-source, end-to-end pipeline designed for extracting sentence-level knowledge graphs by combining robust coreference resolution with large language models.

Practices, opportunities and challenges in the fusion of knowledge ... frontiersin.org Frontiers 1 fact

claimLarge Language Models (LLMs) assist in Knowledge Graph construction by acting as prompts and generators for entity, relation, and event extraction, as well as performing entity linking and coreference resolution.