Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The extraction of the structured mechatronic spec
ification from unstructured PDF datasheets remains a critical
bottleneck in hardware engineering workflows. Conventional
NLP pipelines treat documents as linear token sequences, ig
noring the inherently two-dimensional spatial organization of
technical tables, This paper introduces A-RAG/SR-NLP, an
Autonomic Retrial- Augmented Generation and Spatial-Relation
NLParchitecture. The central innovation is the Spatial-Relational
Constraint Engine (SRCE), which mode is the PDF canvas
as a topographic terrain, computing Euclidean bounding-box
distances and enforcing strict Y-axis orthogonality constraints.
Candidate entities from a multi-model NER ensemble are val
idated geometrically before ingestion into a Meta-Llama-3-8B
Instruct RAG pipeline. Extensive experiments on a novel dataset
of 250 mechatronic datasets demonstrate a 7-11% F1-score
improvement and reduction of cross-row association errors from
12% to under 2% Compared to LayoutLMv3 and sequentail
NER baselines. The system achives sub-second per-page latency,
enabling industrial-scale Bill-of-Materials processing.
Keywords:
Cite Article:
"Spatially-Coupled Contextual Entity Extraction in Technical Documentation via Topographic Constraint Topologies", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b981-b984, May-2026, Available :http://www.ijrti.org/papers/IJRTI2604271.pdf
Downloads:
000205518
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator