… 3 Recurrent Neural Language Generator The recurrent language generator proposed in
this paper is based on a neural net language generator (Wen et al., 2016b) which consists of …

… as a result of aggregation at the message level, the system can start converting it into natural
language. In our example (Figure 1c), the outcome of aggregation and lexicalisation are …

… producing human understandable natural language text based … of-the-art approaches in
Natural Language Generation. The paper … Among these, in this context we focus on aggregation …

… In the next subsection, we will cover the aspects of sentence aggregation which is …
Cognitive Architectures –We argue that natural language generation entails not only incorporating …

… Our model has slightly lower agreement on aggregation (NMI), but if we consider aggregation
… Survey of the state of the art in natural language generation: Core tasks, applications and …

Neural natural language generation (NLG) models have recently shown … language. In this
paper, we suggest a new NLG task where a model is tasked with generating natural language …

How can we measure whether a natural language generation system produces both high
quality and diverse outputs? Human evaluation captures quality but not diversity, as it does not …

… aggregated score. To this end, we train a regression model using the same weak supervision
data for D, with the aggregated … We note that the aggregated estimation method may not be …

… -layer Transformer aggregation coder, we propose an end-toend answer generation model
(AG… His research interests include deep learning, nature language processing, and computer …

… This paper conducts a benchmark of most classical natural language generation metrics [11…
Finally, we propose a way to aggregate different metrics as a vote of expert through Kemeny …