Natural Language Generation (NLG) Model
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A Natural Language Generation (NLG) Model is a generative model that can be implemented by an NLG system.
- Example(s):
- Counter-Example(s):
- NLU Model.
- …
- See: NLG Model Training.
References
2020
- (Celikyilmaz et al., 2020) ⇒ Asli Celikyilmaz, Elizabeth Clark, and Jianfeng Gao. (2020). “Evaluation of Text Generation: A Survey.” In: arXiv preprint arXiv:2006.14799.
- ABSTRACT: ... For each category, we discuss the progress that has been made and the challenges still being faced, with a focus on the evaluation of recently proposed NLG tasks and neural NLG models. We then present two case studies of automatic text summarization and long text generation, and conclude the paper by proposing future research directions. ...
- … These earlier text generation approaches and their extensions play an important role in the evolution of NLG research. The same is true for the NLG research in the last decade, in which we witness a paradigm shift towards learning representations from large textual corpora in an unsupervised manner using deep neural network (DNN) models. Recent NLG models are built by training DNN models, typically on very large corpora of human-written texts. ...