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The Birth of the Algorithmic Author: NLG Systems as Tools and Agents
Natural language generation (NLG) – when computers produce text-based output in readable human languages – is becoming increasingly prevalent in our modern digital age. This paper will review the ways in which an NLG system may be framed in popular and scholarly discourse: namely, as a tool or as an agent. It will consider the implications of such perspectives for general perceptions of NLG systems and computer-generated texts. Negotiating claims made by system developers and the opinions of ordinary readers amassed through empirical studies conducted for this research, this paper delves into a theoretical and philosophical exploration of questions of authorial agency related to computer-generated texts, and by considering whether NLG systems constitute tools for manifesting human intention or agents in themselves.
leahhenrickson - 12.09.2019 - 15:02
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GPT-based Generation for Classical Chinese Poetry
We present a simple yet effective method for generating high qual- ity classical Chinese poetry with Generative Pre-trained Language Model (GPT)[5]. The method adopts a simple GPT model, without using any human crafted rules or features, or designing any additional neural compo- nents. While the proposed model learns to generate various forms of clas- sical Chinese poems, including Jueju(绝句), Lu ̈shi(律诗), various Cipai(词牌) and Couples(对联), the generated poems are of very high quality. We also propose and implement a method to fine-tune the model to generate acrostic poetry. To the best of our knowledge, this is the first to em- ploy GPT in developing a poetry generation system. We have released an online mini demonstration program on Wechat1 to show the generation capability of the proposed method for classical Chinese poetry.
Jill Walker Rettberg - 18.09.2019 - 11:08
