Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory

Perception and expression of emotion are key factors to the success of dialogue systems or conversational agents. However, this problem has not been studied in large-scale conversation generation so far. In this paper, we propose Emotional Chatting Machine (ECM) that can generate appropriate responses not only in content (relevant and grammatical) but also in emotion (emotionally consistent). To the best of our knowledge, this is the first work that addresses the emotion factor in large-scale conversation generation. ECM addresses the factor using three new mechanisms that respectively (1) models the high-level abstraction of emotion expressions by embedding emotion categories, (2) captures the change of implicit internal emotion states, and (3) uses explicit emotion expressions with an external emotion vocabulary. Experiments show that the proposed model can generate responses appropriate not only in content but also in emotion.Comment: Accepted in AAAI 201

Can digital finance drive urban–rural integration?

Financial services are an essential source of capital and play a crucial and significant role in urban–rural integration. We analyse empirically the effect of digital finance on urban–rural integration and its mechanism using provincial panel data in China for 2011–2020. The results indicate that digital finance contributes to urban–rural integration. Moreover, for every 1 standard deviation increase in digital finance development, the degree of urban–rural integration increases by 7.7% on average, and it is more evident in China’s eastern regions, with regional heterogeneity. The level of entrepreneurship can be a vital channel for digital finance to facilitate urban– rural integration. The mechanism of action of digital finance to facilitate urban–rural integration by improving entrepreneurship levels is primarily revealed in the group with lower levels of human capital, which exhibits certain inclusive characteristics. This study is conducive to developing a policy for promoting the free flow of resources between urban and rural areas and advancing urban–rural integration

Dynamic model of field modulated magnetic gear system

Considering the special working principle and the structure of field modulation magnetic gear (FMMG), the magnetic coupling stiffnesses (MCS) are calculated and analyzed by finite element method. A magnetic coupling dynamic model is presented and the dynamic differential equations are founded. The natural frequencies and mode shapes of FMMG system are investigated. The effects of main design parameters on the natural frequencies are discussed. The results show that MCS are much smaller than the meshing stiffnesses of mechanical gears and are affected greatly by system parameters. Six modes of FMMG system have distinctive features, and six natural frequencies change differently as main parameters increase