论XiaoIce中意象的诗歌生成
Image Inspired Poetry Generation in XiaoIce
摘要：
视觉是诗歌灵感的共同来源。人们从图像中感知到的对象和情感印记可能会导致不同的感受，这取决于读者。在本文中，我们提出了一个系统的诗歌生成从图像模仿的过程。给定一幅图像，我们首先提取几个关键字，代表从图像中感知到的对象和情感。这些关键词，然后扩展到相关的人写的诗歌中的协会的基础上。最后，使用在现有诗歌上训练的递归神经网络从关键词逐渐生成诗歌。我们的方法由人类评估员进行评估，并与其他代基线进行比较。结果表明，我们的方法可以生成比基线方法更艺术的诗歌。这是为数不多的从意象中产生诗歌的尝试之一。通过部署我们提出的方法，XiaoIce自2017年7月发布以来已经为用户生成了超过1200万首诗歌。它的一本诗集已由Cheers Publishing出版，该出版社声称这本书是人类历史上第一本由AI撰写的诗集。
英文摘要：
Vision is a common source of inspiration for poetry. The objects and the sentimental imprints that one perceives from an image may lead to various feelings depending on the reader. In this paper, we present a system of poetry generation from images to mimic the process. Given an image, we first extract a few keywords representing objects and sentiments perceived from the image. These keywords are then expanded to related ones based on their associations in human written poems. Finally, verses are generated gradually from the keywords using recurrent neural networks trained on existing poems. Our approach is evaluated by human assessors and compared to other generation baselines. The results show that our method can generate poems that are more artistic than the baseline methods. This is one of the few attempts to generate poetry from images. By deploying our proposed approach, XiaoIce has already generated more than 12 million poems for users since its release in July 2017. A book of its poems has been published by Cheers Publishing, which claimed that the book is the first-ever poetry collection written by an AI in human history.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
