[HTML][HTML] Human evaluation of automatically generated text: Current trends and best practice guidelines
Currently, there is little agreement as to how Natural Language Generation (NLG) systems
should be evaluated, with a particularly high degree of variation in the way that human …
should be evaluated, with a particularly high degree of variation in the way that human …
Operations guided neural networks for high fidelity data-to-text generation
Recent neural models for data-to-text generation are mostly based on data-driven end-to-
end training over encoder-decoder networks. Even though the generated texts are mostly …
end training over encoder-decoder networks. Even though the generated texts are mostly …
Multimodality matters in numerical communication
B Winter, T Marghetis - Frontiers in Psychology, 2023 - frontiersin.org
Modern society depends on numerical information, which must be communicated accurately
and effectively. Numerical communication is accomplished in different modalities—speech …
and effectively. Numerical communication is accomplished in different modalities—speech …
Neural Methods for Data-to-text Generation
The neural boom that has sparked natural language processing (NLP) research throughout
the last decade has similarly led to significant innovations in data-to-text generation (D2T) …
the last decade has similarly led to significant innovations in data-to-text generation (D2T) …
Innovations in neural data-to-text generation: A Survey
The neural boom that has sparked natural language processing (NLP) research through the
last decade has similarly led to significant innovations in data-to-text generation (DTG). This …
last decade has similarly led to significant innovations in data-to-text generation (DTG). This …
Say the right thing right: Ethics issues in natural language generation systems
We discuss the ethical implications of Natural Language Generation systems. We use one
particular system as a case study to identify and classify issues, and we provide an ethics …
particular system as a case study to identify and classify issues, and we provide an ethics …
Probabilistic verb selection for data-to-text generation
In data-to-text Natural Language Generation (NLG) systems, computers need to find the right
words to describe phenomena seen in the data. This paper focuses on the problem of …
words to describe phenomena seen in the data. This paper focuses on the problem of …
A Closer Look at Recent Results of Verb Selection for Data-to-Text NLG
G Chen, JG Yao - … of the 12th International Conference on Natural …, 2019 - aclanthology.org
Automatic natural language generation systems need to use the contextually-appropriate
verbs when describing different kinds of facts or events, which has triggered research …
verbs when describing different kinds of facts or events, which has triggered research …
[PDF][PDF] isiZulu Digital Assistant for Financial Transactions
J Moraba - projects.cs.uct.ac.za
Natural language generation (NLG) systems have been widely adopted around the world to
automatically generate sports, weather, medical and financial reports from the underlying …
automatically generate sports, weather, medical and financial reports from the underlying …