activity
20192023
most citedCLaRO: a Data-driven CNL for Specifying Competency Questions

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023★ 1 cited

Contextualising Levels of Language Resourcedness that affect NLP tasks

C. Maria Keet, Langa Khumalo

Several widely used software applications involve some form of processing of natural language, with tasks ranging from digitising hardcopies and text processing to speech generatio…

cs.CL2022★ 1 cited

Bootstrapping NLP tools across low-resourced African languages: an overview and prospects

C. Maria Keet

Computing and Internet access are substantially growing markets in Southern Africa, which brings with it increasing demands for local content and tools in indigenous African langua…

cs.CL2021

An evaluation of template and ML-based generation of user-readable text from a knowledge graph

Zola Mahlaza, C. Maria Keet, Jarryd Dunn +1

Typical user-friendly renderings of knowledge graphs are visualisations and natural language text. Within the latter HCI solution approach, data-driven natural language generation…

cs.CY2020

Why a computer program is a functional whole

C. Maria Keet

Sharing, downloading, and reusing software is common-place, some of which is carried out legally with open source software. When it is not legal, it is unclear just how many copyri…

cs.AI2019★ 2 cited

CLaRO: a Data-driven CNL for Specifying Competency Questions

C. Maria Keet, Zola Mahlaza, Mary-Jane Antia

Competency Questions (CQs) for an ontology and similar artefacts aim to provide insights into the contents of an ontology and to demarcate its scope. The absence of a controlled na…