Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
Strwythura: construct an entity-resolved knowledge graph from structured data sources and unstructured content sources, implementing an ontology pipeline, plus context engineering for optimizing AI application outcomes within a specific domain. This produces a Streamlit app, with MLOps instrumentation.
Java implementation of the TextRank algorithm by Mihalcea, et al.
TextGraphs-13 Shared Task on Multi-Hop Inference Explanation Regeneration
Analyze trends in articles published on arXiv
Connected Data London 2025 Masterclass: Combining Data from Structured and Unstructured Sources to create High-Quality Knowledge Graphs
Connected Data London 2024, ERKG masterclass: how to generate knowledge graphs from structured and unstructured data based on entity resolution (ER) to enhance data quality for the downstream AI applications
TextGraphs-14 Shared Task on Multi-Hop Inference Explanation Regeneration
Website of TextGraphs: Graph-based Algorithms for Natural Language Processing
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