Open-world story generation with structured knowledge enhancement: A comprehensive survey

Y Wang, J Lin, Z Yu, W Hu, BF Karlsson - Neurocomputing, 2023 - Elsevier
Storytelling and narrative are fundamental to human experience, intertwined with our social
and cultural engagement. As such, researchers have long attempted to create systems that …

Recent advances in natural language generation: A survey and classification of the empirical literature

R Perera, P Nand - Computing and Informatics, 2017 - cai.sk
Abstract Natural Language Generation (NLG) is defined as the systematic approach for
producing human understandable natural language text based on non-textual data or from …

GTR-LSTM: A triple encoder for sentence generation from RDF data

B Distiawan, J Qi, R Zhang, W Wang - Proceedings of the 56th …, 2018 - aclanthology.org
A knowledge base is a large repository of facts that are mainly represented as RDF triples,
each of which consists of a subject, a predicate (relationship), and an object. The RDF triple …

[PDF][PDF] The webnlg challenge: Generating text from dbpedia data

E Colin, C Gardent, Y M'rabet… - 9th International …, 2016 - research.ed.ac.uk
With the emergence of the linked data initiative and the rapid development of RDF
(Resource Description Format) datasets, several approaches have recently been proposed …

Natural language generation in the context of the semantic web

N Bouayad-Agha, G Casamayor, L Wanner - Semantic Web, 2014 - content.iospress.com
Abstract Natural Language Generation (NLG) is concerned with transforming given content
input into a natural language output, given some communicative goal. Although this input …

Xalign: Cross-lingual fact-to-text alignment and generation for low-resource languages

T Abhishek, S Sagare, B Singh, A Sharma… - … Proceedings of the …, 2022 - dl.acm.org
Multiple critical scenarios need automated generation of descriptive text in low-resource
(LR) languages given English fact triples. For example, Wikipedia text generation given …

Ontology-based metamorphic testing for chatbots

J Božić - Software Quality Journal, 2022 - Springer
Modern-day demands for services often require an availability on a 24/7 basis as well as
online accessibility around the globe. For this sake, personalized virtual assistants, called …

A review of the generation of requirements specification in natural language using objects UML models and domain ontology

A Abdalazeim, F Meziane - Procedia Computer Science, 2021 - Elsevier
In the software development life cycle, requirements engineering is the main process that is
derived from users by informal interviews written in natural language by requirements …

A holistic natural language generation framework for the semantic web

ACN Ngomo, D Moussallem, L Bühmann - arXiv preprint arXiv …, 2019 - arxiv.org
With the ever-growing generation of data for the Semantic Web comes an increasing
demand for this data to be made available to non-semantic Web experts. One way of …

Denoising pre-training and data augmentation strategies for enhanced RDF verbalization with transformers

S Montella, B Fabre, T Urvoy, J Heinecke… - arXiv preprint arXiv …, 2020 - arxiv.org
The task of verbalization of RDF triples has known a growth in popularity due to the rising
ubiquity of Knowledge Bases (KBs). The formalism of RDF triples is a simple and efficient …