In recent years, conversational agents (CAs) have become ubiquitous and are a presence in
our daily routines. It seems that the technology has finally ripened to advance the use of CAs …

In recent years, significant progress has been made in text generation. The latest text
generation models are revolutionizing the domain by generating human-like text. It has …

As a crucial component in task-oriented dialog systems, the Natural Language Generation
(NLG) module converts a dialog act represented in a semantic form into a response in …

This paper provides a comprehensive analysis of the first shared task on End-to-End Natural
Language Generation (NLG) and identifies avenues for future research based on the results …

Researchers have devised numerous ways to quantify social biases vested in pretrained
language models. As some language models are capable of generating coherent …

Natural Language Generation (NLG) is a key component in a task-oriented dialogue system,
which converts the structured meaning representation (MR) to the natural language. For …

Automatically generating meaningful and coherent text has many applications, such as
machine translation, dialogue systems, BOT application, etc. Text generation technology has …

Data-driven approaches using neural networks have achieved promising performances in
natural language generation (NLG). However, neural generators are prone to make …

Domain Adaptation arises when we aim at learning from source domain a model that can
per-form acceptably well on a different target domain. It is especially crucial for Natural …

End-to-end data-driven approaches lead to rapid development of language generation and
dialogue systems. Despite the need for large amounts of well-organized data, these …