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Information, Volume 16, Issue 10

2025 October - 101 articles

Cover Story: Many individuals across diverse disciplines record spoken data yet lack accessible ways to transform it into structured, analyzable form. CLARE bridges this gap by uniting a time-synchronized transcript editor with automated, context-aware knowledge graph generation and interactive refinement. Users can correct transcripts, generate predicate-typed graphs, and edit nodes and edges. The system accommodates both local and cloud deployment options, enabling users to tailor model selection to their specific privacy constraints and performance needs. On the MINE benchmark, CLARE captured more factual content than prior systems and achieved further gains through brief human review, demonstrating a practical, transparent workflow from conversation to knowledge graph. View this paper
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Articles (101)

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  • Open Access
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Entity Span Suffix Classification for Nested Chinese Named Entity Recognition

  • Jianfeng Deng,
  • Ruitong Zhao,
  • Wei Ye and
  • Suhong Zheng
Information2025, 16(10), 822;https://doi.org/10.3390/info16100822

23 September 2025

Named entity recognition (NER) is one of the fundamental tasks in building knowledge graphs. For some domain-specific corpora, the text descriptions exhibit limited standardization, and some entity structures have entity nesting. The existing entity...

(This article belongs to the Section Artificial Intelligence)
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