33 research outputs found
Flexible and Creative Chinese Poetry Generation Using Neural Memory
It has been shown that Chinese poems can be successfully generated by
sequence-to-sequence neural models, particularly with the attention mechanism.
A potential problem of this approach, however, is that neural models can only
learn abstract rules, while poem generation is a highly creative process that
involves not only rules but also innovations for which pure statistical models
are not appropriate in principle. This work proposes a memory-augmented neural
model for Chinese poem generation, where the neural model and the augmented
memory work together to balance the requirements of linguistic accordance and
aesthetic innovation, leading to innovative generations that are still
rule-compliant. In addition, it is found that the memory mechanism provides
interesting flexibility that can be used to generate poems with different
styles
Bajki robot贸w : przegl膮d wybranych projekt贸w generuj膮cych sztuczn膮 literatur臋
Artyku艂 zawiera przegl膮d wybranych projekt贸w sztucznej tw贸rczo艣ci w dziedzinie literatury.
Zdefiniowana zosta艂a sztuczna tw贸rczo艣膰 oraz aspekty prawne w zakresie prawa autorskiego i praw pokrewnych
Bajki robot贸w. Przegl膮d wybranych projekt贸w generuj膮cych sztuczn膮 literatur臋
The article provides an overview of selected projects of artificial creations in the field of literature. We defined the concept of artificial creation and legal aspects of copyright and related rights.Artyku艂 zawiera przegl膮d wybranych projekt贸w sztucznej tw贸rczo艣ci w dziedzinie literatury. Zdefiniowana zosta艂a sztuczna tw贸rczo艣膰 oraz aspekty prawne w zakresie prawa autorskiego i praw pokrew颅nych
How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networks
With the recent advances of neural models and natural language processing,
automatic generation of classical Chinese poetry has drawn significant
attention due to its artistic and cultural value. Previous works mainly focus
on generating poetry given keywords or other text information, while visual
inspirations for poetry have been rarely explored. Generating poetry from
images is much more challenging than generating poetry from text, since images
contain very rich visual information which cannot be described completely using
several keywords, and a good poem should convey the image accurately. In this
paper, we propose a memory based neural model which exploits images to generate
poems. Specifically, an Encoder-Decoder model with a topic memory network is
proposed to generate classical Chinese poetry from images. To the best of our
knowledge, this is the first work attempting to generate classical Chinese
poetry from images with neural networks. A comprehensive experimental
investigation with both human evaluation and quantitative analysis demonstrates
that the proposed model can generate poems which convey images accurately.Comment: Accepted by AAAI 201