https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg/Head https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg/assertion https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg/provenance https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg/pubinfo https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg/assertion https://doi.org/10.48550/arXiv.2502.14192 http://purl.org/dc/terms/title NLP-AKG: Few-Shot Construction of NLP Academic Knowledge Graph Based on LLM https://doi.org/10.48550/arXiv.2502.14192 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#NlpAkgConstructionMethod https://doi.org/10.48550/arXiv.2502.14192 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#SubGraphCommunitySummaryMethod https://doi.org/10.48550/arXiv.2502.14192 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#Bm25Retrieval https://doi.org/10.48550/arXiv.2502.14192 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#Gpt4 https://doi.org/10.48550/arXiv.2502.14192 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#Kaping https://doi.org/10.48550/arXiv.2502.14192 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#KnowledgeAugmentedGeneration https://doi.org/10.48550/arXiv.2502.14192 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#MindMap https://doi.org/10.48550/arXiv.2502.14192 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#NlpKg https://doi.org/10.48550/arXiv.2502.14192 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#Orkg https://doi.org/10.48550/arXiv.2502.14192 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#TextEmbeddingRetrieval https://doi.org/10.48550/arXiv.2502.14192 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#TsinghuaOpenAcademicGraph https://doi.org/10.48550/arXiv.2502.14192 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/ns/prov#Entity https://neverblink.eu/ontologies/llm-kg/methods#Bm25Retrieval http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#Bm25Retrieval http://www.w3.org/2000/01/rdf-schema#label BM25 retrieval https://neverblink.eu/ontologies/llm-kg/methods#Gpt4 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#Gpt4 http://www.w3.org/2000/01/rdf-schema#label GPT-4 https://neverblink.eu/ontologies/llm-kg/methods#Kaping http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#Kaping http://www.w3.org/2000/01/rdf-schema#label KAPING https://neverblink.eu/ontologies/llm-kg/methods#KnowledgeAugmentedGeneration http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#KnowledgeAugmentedGeneration http://www.w3.org/2000/01/rdf-schema#label Knowledge Augmented Generation (KAG) https://neverblink.eu/ontologies/llm-kg/methods#MindMap http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#MindMap http://www.w3.org/2000/01/rdf-schema#label MindMap https://neverblink.eu/ontologies/llm-kg/methods#NlpAkgConstructionMethod http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#LLMAugmentedKGConstruction https://neverblink.eu/ontologies/llm-kg/methods#NlpAkgConstructionMethod http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#NlpAkgConstructionMethod http://www.w3.org/2000/01/rdf-schema#comment This method focuses on constructing a novel knowledge graph (NLP-AKG) for NLP academic papers. It leverages LLMs for various tasks like entity extraction from text and tables, interpreting table hierarchies, generating code for data extraction, and summarizing innovation points. While also involving XLNet and k-means for cleaning and disambiguation, the core framework uses LLMs to address entity discovery, coreference resolution, and relation extraction, making it an LLM-augmented approach for KG construction. https://neverblink.eu/ontologies/llm-kg/methods#NlpAkgConstructionMethod http://www.w3.org/2000/01/rdf-schema#label NLP-AKG Construction Method based on LLM https://neverblink.eu/ontologies/llm-kg/methods#NlpAkgConstructionMethod https://neverblink.eu/ontologies/llm-kg/hasTopCategory https://neverblink.eu/ontologies/llm-kg/top-categories#LLMAugmentedKG https://neverblink.eu/ontologies/llm-kg/methods#NlpKg http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#NlpKg http://www.w3.org/2000/01/rdf-schema#label NLP-KG https://neverblink.eu/ontologies/llm-kg/methods#Orkg http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#Orkg http://www.w3.org/2000/01/rdf-schema#label ORKG https://neverblink.eu/ontologies/llm-kg/methods#SubGraphCommunitySummaryMethod http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference https://neverblink.eu/ontologies/llm-kg/methods#SubGraphCommunitySummaryMethod http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#SubGraphCommunitySummaryMethod http://www.w3.org/2000/01/rdf-schema#comment This method aims to enhance the question answering ability of LLMs by augmenting them with knowledge from the constructed NLP-AKG during the inference stage. It involves using LLMs for intent identification, querying the KG to form 'sub-graph communities' around relevant papers, and then feeding these structured community elements along with prompts to the LLM to generate more accurate answers. This directly improves LLM performance by providing external, structured knowledge at inference. https://neverblink.eu/ontologies/llm-kg/methods#SubGraphCommunitySummaryMethod http://www.w3.org/2000/01/rdf-schema#label Sub-graph Community Summary Method https://neverblink.eu/ontologies/llm-kg/methods#SubGraphCommunitySummaryMethod https://neverblink.eu/ontologies/llm-kg/hasTopCategory https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM https://neverblink.eu/ontologies/llm-kg/methods#TextEmbeddingRetrieval http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#TextEmbeddingRetrieval http://www.w3.org/2000/01/rdf-schema#label Text embedding retrieval https://neverblink.eu/ontologies/llm-kg/methods#TsinghuaOpenAcademicGraph http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#TsinghuaOpenAcademicGraph http://www.w3.org/2000/01/rdf-schema#label Tsinghua Open Academic Graph (OAG) https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg/provenance https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg/assertion http://www.w3.org/ns/prov#wasAttributedTo https://neverblink.eu/ontologies/llm-kg/agent https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg/assertion http://www.w3.org/ns/prov#wasDerivedFrom https://doi.org/10.48550/arXiv.2502.14192 https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg/pubinfo https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg http://purl.org/dc/terms/created 2026-02-26T16:06:00.805Z https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg http://purl.org/dc/terms/creator https://neverblink.eu/ontologies/llm-kg/agent https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg http://purl.org/nanopub/x/hasNanopubType https://neverblink.eu/ontologies/llm-kg/PaperAssessmentResult https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg http://www.w3.org/2000/01/rdf-schema#label LLM-KG assessment for paper 10.48550/arXiv.2502.14192 https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg/sig http://purl.org/nanopub/x/hasAlgorithm RSA https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg/sig http://purl.org/nanopub/x/hasPublicKey MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg/sig http://purl.org/nanopub/x/hasSignature DUl1azwiySDqRPajOATFFp8sLpfYPuAYxXQMVQWUGup1IwapWSWQn2bTnmLumnO9fc6csquYWkuF5gEmTT6zfSCWNyhG12F8GiOdeK6spnrhN0/x4/MFBZcqPhO/wMuvfjK+091hGjz1I0mTvcGJUJDl9dj0kLimt8elqisx9lKs+YxYLy/+il5Ns+7Kxq6dcWGk+6fTyJ+hPejIM4xiTVjuZJRNv3eJly6IBDEMw5O93J4ufOBEDeiLc85ch9qGHVh2OHFnCpNgsrLBnm7vDuzc2ym5TFFKA4pMnfzOwmKDxGa0br8lahoyAIVbL0wf64/cff5SSotgshKi2gq5Gw== https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg/sig http://purl.org/nanopub/x/hasSignatureTarget https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg/sig http://purl.org/nanopub/x/signedBy https://neverblink.eu/ontologies/llm-kg/agent