Semantic Centroids and Hierarchical Density-Based Clustering for Cross-Document Software Coreference Resolution
Semantic Centroids and Hierarchical Density-Based Clustering for Cross-Document Software Coreference Resolution explores A system for resolving inconsistent software mentions across scientific documents using semantic embeddings and density-based clustering.. Commercial viability score: 4/10 in NLP Coreference Resolution.
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