This paper surveys the current state of the art in Natural Language Generation (NLG),
defined as the task of generating text or speech from non-linguistic input. A survey of NLG is …

Dialogue systems have achieved growing success in many areas thanks to the rapid
advances of machine learning techniques. In the quest for generating more human-like …

Despite much progress in training artificial intelligence (AI) systems to imitate human
language, building agents that use language to communicate intentionally with humans in …

Much of human dialogue occurs in semi-cooperative settings, where agents with different
goals attempt to agree on common decisions. Negotiations require complex communication …

During the past decade, several areas of speech and language understanding have
witnessed substantial breakthroughs from the use of data-driven models. In the area of …

The majority of conversations a dialogue agent sees over its lifetime occur after it has
already been trained and deployed, leaving a vast store of potential training signal …

Automatic face photo-sketch recognition has important applications for law enforcement.
Recent research has focused on transforming photos and sketches into the same modality …

The conversational interface has become a hot topic in the past year or so, providing the
primary means of interaction with chatbots, messaging apps, and virtual personal assistants …

A long-term goal of machine learning research is to build an intelligent dialog agent. Most
research in natural language understanding has focused on learning from fixed training sets …

Chatter bots are software programs that engage in artificial conversations through a text-
based input medium. They are extensively deployed in customer service applications …