In the field of artificial intelligence, human–computer interaction (HCI) technology and its
related intelligent robot technologies are essential and interesting contents of research …

In recent years, considerable research has been dedicated to the application of neural
models in the field of natural language generation (NLG). The primary objective is to …

Automatic topic-to-essay generation is a challenging task since it requires generating novel,
diverse, and topic-consistent paragraph-level text with a set of topics as input. Previous work …

Poetry is one of the most beautiful forms of human language art. As a crucial step towards
computer creativity, automatic poetry generation has drawn researchers' attention for …

It is a challenging task to automatically compose poems with not only fluent expressions but
also aesthetic wording. Although much attention has been paid to this task and promising …

In this article, we tackle the math word problem, namely, automatically answering a
mathematical problem according to its textual description. Although recent methods have …

Neural machine translation (NMT) has achieved notable success in recent times, however it
is also widely recognized that this approach has limitations with handling infrequent words …

Expressing diverse sentiments is one of the main purposes of human poetry creation.
Existing Chinese poetry generation models have made great progress in poetry quality, but …

The ability to write diverse poems in different styles under the same poetic imagery is an
important characteristic of human poetry writing. Most previous works on automatic Chinese …

Motivation Finding molecules with desired pharmaceutical properties is crucial in drug
discovery. Generative models can be an efficient tool to find desired molecules through the …