Controllable Text Generation (CTG) is an emerging area in the field of natural language
generation (NLG). It is regarded as crucial for the development of advanced text generation …

Text Generation aims to produce plausible and readable text in human language from input
data. The resurgence of deep learning has greatly advanced this field, in particular, with the …

Text generation is of great importance to many natural language processing applications.
However, maximization-based decoding methods (eg, beam search) of neural language …

Automatic song writing aims to compose a song (lyric and/or melody) by machine, which is
an interesting topic in both academia and industry. In automatic song writing, lyric-to-melody …

Rap generation, which aims to produce lyrics and corresponding singing beats, needs to
model both rhymes and rhythms. Previous works for rap generation focused on rhyming …

Lyric-to-melody generation is an important task in automatic songwriting. Previous lyric-to-
melody generation systems usually adopt end-to-end models that directly generate …

ThisstudyinvestigatesthepossibilityofusingG…-3 modelstogeneratehigh-
qualitypoemsinaspecificauthor'sstyle, throughfine-tuningondatasetsofpoems accompaniedbytheirmetadataandautomatic …

Lyric-to-melody generation, which generates melody according to given lyrics, is one of the
most important automatic music composition tasks. With the rapid development of deep …

Sentiment and style control are two vital aspects in automatic poetry generation. Excellent
Chinese classical poetry should express a certain emotion and embody a specific style at …

Existing methods for text generation usually fed the overall sentiment polarity of a product as
an input into the seq2seq model to generate a relatively fluent review. However, these …