mlsanityData to 7 Oct 2026

Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processing

arXiv 2404.01443 ↗First posted 1 Apr 2024cs.CLcited by 0

Not on the map. Why?

Abstract (arXiv)

Knowledge management is a critical challenge for enterprises in today's digital world, as the volume and complexity of data being generated and collected continue to grow incessantly. Knowledge graphs (KG) emerged as a promising solution to this problem by providing a flexible, scalable, and semantically rich way to organize and make sense of data. This paper builds upon a recent survey of the research literature on combining KGs and Natural Language Processing (NLP). Based on selected application scenarios from enterprise context, we discuss synergies that result from such a combination. We cover various approaches from the three core areas of KG construction, reasoning as well as KG-based NLP tasks. In addition to explaining innovative enterprise use cases, we assess their maturity in terms of practical applicability and conclude with an outlook on emergent application areas for the future.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 17 of its 65 references that are in the map. First posted on arXiv 1 Apr 2024.

Builds on

17 of 65 references.

References · 17

  1. 2020Knowledge Graphscited by 619
  2. 2018Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Constructioncited by 321
  3. 2019Text Generation from Knowledge Graphs with Graph Transformerscited by 122
  4. 2021KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answeringcited by 66
  5. 2019Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networkscited by 61
  6. 2018Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignmentcited by 49
  7. 2020A Survey on Complex Question Answering over Knowledge Base: Recent Advances and Challengescited by 47
  8. 2022A Decade of Knowledge Graphs in Natural Language Processing: A Surveycited by 40
  9. 2018A Web-scale system for scientific knowledge explorationcited by 39
  10. 2022Evaluating Unsupervised Text Classification: Zero-shot and Similarity-based Approachescited by 39
  11. 2019Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputscited by 38
  12. 2022PatternRank: Leveraging Pretrained Language Models and Part of Speech for Unsupervised Keyphrase Extractioncited by 19
5 more
  1. 2021Stage-wise Fine-tuning for Graph-to-Text Generationcited by 11
  2. 2021A System for Automated Open-Source Threat Intelligence Gathering and Managementcited by 7
  3. 2022Lbl2Vec: An Embedding-Based Approach for Unsupervised Document Retrieval on Predefined Topicscited by 7
  4. 2021PatentMiner: Patent Vacancy Mining via Context-enhanced and Knowledge-guided Graph Attentioncited by 1
  5. 2022Semantic Similarity-Based Clustering of Findings From Security Testing Toolscited by 1

Built on by

Not cited yet.