Technical Language Processing for Telecommunications Specifications

ABSTRACT Large Language Models (LLMs) are continuously being evaluated in more diverse contexts. However, they still have challenges when extracting information from highly specific internal technical documentation. One specific area of real‐world technical documentation is telecommunications engineering, which could benefit from domain‐specific LLMs. In this article, we expand the notion of Technical Language Processing (TLP) to the telecommunications domain by introducing and analyzing the format of technical specifications from a leading telecommunications equipment vendor. Additionally, we highlight the importance of use case definitions by introducing requirement property mapping for maximizing information extraction. Also, we recommend actions to mitigate the effect of the internal specifications format on information extraction, which can lead to LLM‐friendly internal specifications. Finally, a PoC is built to showcase the improvements of our proposed framework.

Authors

Institutions

Publication Details

Journal
Applied AI Letters
Published
2025-03-24
DOI
https://doi.org/10.1002/ail2.111
Citations
1
Primary Topic
Advanced Text Analysis Techniques
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Technical Language Processing for Telecommunications Specifications

Felipe A. Rodriguez Y.
1 citations
Applied AI Letters
Advanced Text Analysis Techniques
2.48
article

Technical Language Processing for Telecommunications Specifications

Felipe A. Rodriguez Y.
article en
1 citations

Abstract

ABSTRACT Large Language Models (LLMs) are continuously being evaluated in more diverse contexts. However, they still have challenges when extracting information from highly specific internal technical documentation. One specific area of real‐world technical documentation is telecommunications engineering, which could benefit from domain‐specific LLMs. In this article, we expand the notion of Technical Language Processing (TLP) to the telecommunications domain by introducing and analyzing the format of technical specifications from a leading telecommunications equipment vendor. Additionally, we highlight the importance of use case definitions by introducing requirement property mapping for maximizing information extraction. Also, we recommend actions to mitigate the effect of the internal specifications format on information extraction, which can lead to LLM‐friendly internal specifications. Finally, a PoC is built to showcase the improvements of our proposed framework.

Applied AI LettersVol. 6(2)
Nokia (Finland) (FI), Aalto University (FI)
Openalex Percentile: Top 11%
Advanced Text Analysis Techniques
2.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Technical Language Processing for Telecommunications Specifications — Felipe A. Rodriguez Y. · Applied AI Letters (2025) | TGRS Research Map | TGRS