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Paper Detail

Presentation #8
Session:Natural Language Processing
Session Time:Thursday, December 20, 13:30 - 15:30
Presentation Time:Thursday, December 20, 13:30 - 15:30
Presentation: Poster
Topic: Natural language processing:
Paper Title: Guess who? Multilingual approach for the automated generation of author-stylized poetry
Authors: Alexey Tikhonov; Yandex 
 Ivan Yamshchikov; Max Planck Institute for Mathematics in the Sciences 
Abstract: This paper addresses the problem of stylized text generation in a multilingual setup. A version of a language model based on a long short-term memory (LSTM) artificial neural network with extended phonetic and semantic embeddings is used for stylized poetry generation. The quality of the resulting poems generated by the network is estimated through bilingual evaluation understudy (BLEU), a survey and a new cross-entropy based metric that is suggested for the problems of such type. The experiments show that the proposed model consistently outperforms random sample and vanilla-LSTM baselines, humans also tend to attribute machine generated texts to the target author.