PIDQA—Question Answering on Piping and Instrumentation Diagrams
This paper introduces a novel framework enabling natural language question answering on Piping and Instrumentation Diagrams (P&IDs), addressing a critical gap between engineering design documentation and intuitive information retrieval. Our approach transforms static P&IDs into queryable kno...
Saved in:
| Main Authors: | Mohit Gupta, Chialing Wei, Thomas Czerniawski, Ricardo Eiris |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Machine Learning and Knowledge Extraction |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-4990/7/2/39 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
HSM-QA: Question Answering System Based on Hierarchical Semantic Matching
by: Jinlu Zhang, et al.
Published: (2023-01-01) -
Medical Knowledge-Based Differential Image Visual Question Answering
by: Fangpeng Lu, et al.
Published: (2025-01-01) -
Unsupervised Context-Linking Retriever for Question Answering on Long Narrative Books
by: Mohammad A. Ateeq, et al.
Published: (2025-01-01) -
Question Answering System for Applicant Support by Using Modern Messengers
by: Dmitry R. Filonov, et al.
Published: (2018-08-01) -
A lightweight knowledge graph-driven question answering system for field-based mineral resource survey
by: Mingguo Wang, et al.
Published: (2025-09-01)