88,398 research outputs found

    Guess who? Multilingual approach for the automated generation of author-stylized poetry

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    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 associate machine generated texts with the target author

    Guanxi, government and Corporate reputation in China: Lessons for international companies

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    The purpose of this paper is to explore corporate reputation in the transitional Chinese context, and to examine the impact of guanxi on reputation management. China remains a hierarchical guanxi-based society despite the rapid transition to a market-led economy. The decentralised business environment today is more complicated than that in the pre-reform era. As reputation is relationship based, guanxi is an important form of reputation capital. Corporate reputation in China is all about managing relationships with key stakeholders, the most important being the government. Government at the top level is crucial for reputation-building and deal-making. Given the idiosyncratic market conditions and differences in culture, MNCs have to adopt a localisation strategy in corporate communications, showing due respect for the local culture
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