Matches in Nanopublications for { ?s ?p ?o <https://w3id.org/np/RAwyT1MGH2Xeq3vSUje-OB3-a_H_Z1Y_K7FS2bqFW_Abg/assertion>. }
Showing items 1 to 41 of
41
with 100 items per page.
- Gpt4 type Workflow assertion.
- MindMap type Workflow assertion.
- arXiv.2502.14192 type Entity assertion.
- Bm25Retrieval type Workflow assertion.
- Kaping type Workflow assertion.
- KnowledgeAugmentedGeneration type Workflow assertion.
- NlpAkgConstructionMethod type Workflow assertion.
- NlpKg type Workflow assertion.
- Orkg type Workflow assertion.
- SubGraphCommunitySummaryMethod type Workflow assertion.
- TextEmbeddingRetrieval type Workflow assertion.
- TsinghuaOpenAcademicGraph type Workflow assertion.
- Gpt4 label "GPT-4" assertion.
- MindMap label "MindMap" assertion.
- Bm25Retrieval label "BM25 retrieval" assertion.
- Kaping label "KAPING" assertion.
- KnowledgeAugmentedGeneration label "Knowledge Augmented Generation (KAG)" assertion.
- NlpAkgConstructionMethod label "NLP-AKG Construction Method based on LLM" assertion.
- NlpKg label "NLP-KG" assertion.
- Orkg label "ORKG" assertion.
- SubGraphCommunitySummaryMethod label "Sub-graph Community Summary Method" assertion.
- TextEmbeddingRetrieval label "Text embedding retrieval" assertion.
- TsinghuaOpenAcademicGraph label "Tsinghua Open Academic Graph (OAG)" assertion.
- NlpAkgConstructionMethod 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." assertion.
- SubGraphCommunitySummaryMethod 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." assertion.
- arXiv.2502.14192 describes NlpAkgConstructionMethod assertion.
- arXiv.2502.14192 describes SubGraphCommunitySummaryMethod assertion.
- arXiv.2502.14192 discusses Gpt4 assertion.
- arXiv.2502.14192 discusses MindMap assertion.
- arXiv.2502.14192 discusses Bm25Retrieval assertion.
- arXiv.2502.14192 discusses Kaping assertion.
- arXiv.2502.14192 discusses KnowledgeAugmentedGeneration assertion.
- arXiv.2502.14192 discusses NlpKg assertion.
- arXiv.2502.14192 discusses Orkg assertion.
- arXiv.2502.14192 discusses TextEmbeddingRetrieval assertion.
- arXiv.2502.14192 discusses TsinghuaOpenAcademicGraph assertion.
- NlpAkgConstructionMethod subject LLMAugmentedKGConstruction assertion.
- SubGraphCommunitySummaryMethod subject KGEnhancedLLMInference assertion.
- arXiv.2502.14192 title "NLP-AKG: Few-Shot Construction of NLP Academic Knowledge Graph Based on LLM" assertion.
- NlpAkgConstructionMethod hasTopCategory LLMAugmentedKG assertion.
- SubGraphCommunitySummaryMethod hasTopCategory KGEnhancedLLM assertion.