Papers with text indexing

2 papers
Linking, Searching, and Visualizing Entities in Wikipedia (L18-1)

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Challenge: Existing systems to extract, index, search, and visualize entities in Wikipedia are not strings, but unique identifiers from Wikidata.
Approach: They propose a system to extract, index, search, and visualize entities in Wikipedia . they use a document model to store linguistic annotations and a string matching engine .
Outcome: The proposed system achieves CEAFm scores of 70.0 on English, 64.4 on Chinese, and 66.5 on Spanish.
LightRAG: Simple and Fast Retrieval-Augmented Generation (2025.findings-emnlp)

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Challenge: Existing RAG systems rely on flat data representations and inadequate contextual awareness . lightRAG framework incorporates graph structures into text indexing and retrieval processes .
Approach: LightRAG is a framework that integrates graph structures into text indexing and retrieval processes.
Outcome: The proposed framework incorporates graph structures into text indexing and retrieval processes.

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