The release of openly available, robust natural language generation algorithms (NLG) has
spurred much public attention and debate. One reason lies in the algorithms' purported …

Hafez is an automatic poetry generation system that integrates a Recurrent Neural Network
(RNN) with a Finite State Acceptor (FSA). It generates sonnets given arbitrary topics …

We describe Hafez, a program that generates any number of distinct poems on a
usersupplied topic. Poems obey rhythmic and rhyme constraints. We describe the …

Chinese poetry generation is a very challenging task in natural language processing. In this
paper, we propose a novel two-stage poetry generating method which first plans the sub …

The rapid advancement in machine learning has led to a surge in automatic data
generation, making it increasingly challenging to differentiate between naturally or human …

This paper describes a statistical approach to generation of Chinese classical poetry and
proposes a novel method to automatically evaluate poems. The system accepts a set of …

Part of the long lasting cultural heritage of humanity is the art of classical poems, which are
created by fitting words into certain formats and representations. Automatic poetry …

Automatic generation of natural language from images has attracted extensive attention. In
this paper, we take one step further to investigate generation of poetic language (with …

Learning and generating Chinese poems is a charming yet challenging task. Traditional
approaches involve various language modeling and machine translation techniques …

We propose two novel methodologies for the automatic generation of rhythmic poetry in a
variety of forms. The first approach uses a neural language model trained on a phonetic …