… While early work on language generation relied on linguistic patterns which had been …
statistical models based on neural architectures —Neural Natural Language Generation (NNLG) …

… and neural architectures employed for generating diverse texts. … to evaluating natural language
generation systems. We hope … , and assessments of neural natural language generation. …

… This paper studied generating natural languages at particular contexts or situations. We …
semantic representation into text sequences with recurrent neural networks. During decoding, …

… Automatic generation of text is an important topic in natural language … neural networks for
generation of natural language. Specifically, we implement two sequence-to-sequence neural …

… Neural natural language generation (NNLG) systems are known for their pathological outputs,
ie generating text which is unrelated to the input specification. In this paper, we show the …

… In the past few years, driven by advances in deep learning, end-to-end neural models based
… factoid questions generation with RNN to transduce facts into neural language questions …

… approach for natural language generation that induces a hierarchy of generation spaces (ie
input… Generation spaces are based on a notion of similarity of partial knowledge graphs with …

… new developments in neural network language models. However, … to neural language
generation, presenting neural language … text generation models, the suitable architectures for text …

… language to engage with the audiences to which the text is accessible. In this work, we are
interested in the task of stylistic transfer in natural language generation (… to control generation. …

… ural language sentences (event-to-sentence). However, typical neural language generation
… We present an ensemble-based model that generates natural language guided by events. …