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Pengyu Zhang

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Linking on the Topology of Entity Co-occurrence Networks for Social Media Analysis

This work constructs multiple entity co-occurrence networks using two tools (Fast Entity Linker and DBpedia Spotlight) and numerous confidence thresholds for each and proves that standard network analysis metrics, such as size, connectivity, and centrality are all heavily influenced by the choice of entity linking tool.

James Nevin, Pengyu Zhang, Dimitar Dimitrov et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Select, Don't Train: The Benefits of Modular Entity Disambiguation with LLM-Based Selection

A systematic comparison of retrieval strategies for candidate generation under a shared LLM-based selection stage, combining sparse retrieval (BM25), Web KB search, and a state-of-the-art trained dense retriever with several open- and closed-source LLMs is presented.

Fina Polat, Daniel Daza, Pengyu Zhang et al. · 0 citations

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