mlsanityData to 7 Oct 2026

Domain Knowledge Graph Construction Via A Simple Checker

arXiv 2310.04949 ↗First posted 8 Oct 2023cs.CLcited by 2

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Abstract (arXiv)

With the availability of large language models, there is a growing interest for semiconductor chip design companies to leverage the technologies. For those companies, deployment of a new methodology must include two important considerations: confidentiality and scalability. In this context, this work tackles the problem of knowledge graph construction from hardware-design domain texts. We propose an oracle-checker scheme to leverage the power of GPT3.5 and demonstrate that the essence of the problem is in distillation of domain expert's background knowledge. Using RISC-V unprivileged ISA specification as an example, we explain key ideas and discuss practicality of our proposed oracle-checker approach.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 8 of its 33 references that are in the map. First posted on arXiv 8 Oct 2023.

Builds on

8 of 33 references.

References · 8

  1. 2021On the Opportunities and Risks of Foundation Modelscited by 3,961
  2. 2018Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Constructioncited by 321
  3. 2021Constrained Language Models Yield Few-Shot Semantic Parserscited by 162
  4. 2020Break It Down: A Question Understanding Benchmarkcited by 131
  5. 2021Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extractioncited by 129
  6. 2022Generative Knowledge Graph Construction: A Reviewcited by 49
  7. 2021End-to-End NLP Knowledge Graph Constructioncited by 21
  8. 2023BERT Based Clinical Knowledge Extraction for Biomedical Knowledge Graph Construction and Analysiscited by 18

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Cited by year

Citing papers per year: 2024: 1; 2025: 1.

2 papers.