Postmodemity of HAN Dong＇s Poetry

With the influence ofpostmodernism, ＂Third Generation＂ poetry rushes out of elite literature and makes Chinese new poetry focus on everyday life of common persons. As one of the most important representatives of ＂Third Generation＂ poets, HAN Dong has created many distinct postmodernist poems. Rejecting metaphor and symbolization, he takes an oral language of original ecology as his poetical discourse mode to affirm the everyday life of here and now, and then both deconstruct metaphoric and symbolic writing of＂Misty Poetry＂ and construct a writing mode of ＂aestheticization of life＂. HAN Dong＇s poetry can be taken as a kind of construction in deconstruction.

Images2Poem in different contexts with Dual-CharRNN

Image to caption has attracted extensive research attention recently.However,image to poetry,especially Chinese classical poetry,is much more challenging.Previous works mainly focus on generating coherent poetry without taking the contexts of poetry into account.In this paper,we propose an Images2Poem with the Dual-CharRNN model which exploits images to generate Chinese classical poems in different contexts.Specifically,we first extract a few keywords representing elements from the given image based on multi-label image classification.Then,these keywords are expanded to related ones with the planning-based model.Finally,we employ Dual-CharRNN to generate Chinese classical poetry in different contexts.A comprehensive evaluation of human judgements demonstrates that our model achieves promising performance and is effective in enhancing poetry's semantic consistency,readability,and aesthetics.We present an Images2Poem with the Dual-CharRNN model exploiting images to generate Chinese classical poems in different contexts,which effectively improves the semantic consistency,readability and aesthetics of the generated poetry.

Composing Like an Ancient Chinese Poet:Learn to Generate Rhythmic Chinese Poetry

Automatic generation of Chinese classical poetry is still a challenging problem in artificial intelligence.Re-cently,Encoder-Decoder models have provided a few viable methods for poetry generation.However,by reviewing the pri-or methods,two major issues still need to be settled:1)most of them are one-stage generation methods without further polishing;2)they rarely take into consideration the restrictions of poetry,such as tone and rhyme.Intuitively,some an-cient Chinese poets tended first to write a coarse poem underlying aesthetics and then deliberated its semantics;while oth-ers first create a semantic poem and then refine its aesthetics.On this basis,in order to better imitate the human creation procedure of poems,we propose a two-stage method(i.e.,restricted polishing generation method)of which each stage fo-cuses on the different aspects of poems(i.e.,semantics and aesthetics),which can produce a higher quality of generated poems.In this way,the two-stage method develops into two symmetrical generation methods,the aesthetics-to-semantics method and the semantics-to-aesthetics method.In particular,we design a sampling method and a gate to formulate the tone and rhyme restrictions,which can further improve the rhythm of the generated poems.Experimental results demon-strate the superiority of our proposed two-stage method in both automatic evaluation metrics and human evaluation met-rics compared with baselines,especially in yielding consistent improvements in tone and rhyme.