Work

Technical Language Processing for Telecommunications Specifications

Year: 2025

Type: article

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.

Source: Applied AI Letters

DOI: 10.1002/ail2.111

Author: Felipe A. Rodriguez Y

Institutions: Nokia (Finland), Aalto University

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,420