mlsanityData to 14 Oct 2026

Assisted Knowledge Graph Authoring: Human-Supervised Knowledge Graph Construction from Natural Language

arXiv 2401.07683 ↗First posted 15 Jan 2024cs.CLcited by 1

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Abstract (arXiv)

Encyclopedic knowledge graphs, such as Wikidata, host an extensive repository of millions of knowledge statements. However, domain-specific knowledge from fields such as history, physics, or medicine is significantly underrepresented in those graphs. Although few domain-specific knowledge graphs exist (e.g., Pubmed for medicine), developing specialized retrieval applications for many domains still requires constructing knowledge graphs from scratch. To facilitate knowledge graph construction, we introduce WAKA: a Web application that allows domain experts to create knowledge graphs through the medium with which they are most familiar: natural language.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 7 of its 20 references that are in the map. First posted on arXiv 15 Jan 2024.

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7 of 20 references.

References · 7

  1. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  2. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,893
  3. 2017A Broad-Coverage Challenge Corpus for Sentence Understanding through Inferencecited by 2,682
  4. 2019KGAT: Knowledge Graph Attention Network for Recommendationcited by 343
  5. 2020FLERT: Document-Level Features for Named Entity Recognitioncited by 45
  6. 2022Web of Scholars: A Scholar Knowledge Graphcited by 6
  7. 2023REDrm FM: a Filtered and Multilingual Relation Extraction Datasetcited by 6

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