scholarly journals Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning

Author(s):  
Ernie Chang ◽  
Hui-Syuan Yeh ◽  
Vera Demberg
2019 ◽  
Author(s):  
Shuang Chen ◽  
Jinpeng Wang ◽  
Xiaocheng Feng ◽  
Feng Jiang ◽  
Bing Qin ◽  
...  

2019 ◽  
Author(s):  
Thiago Castro Ferreira ◽  
Chris van der Lee ◽  
Emiel van Miltenburg ◽  
Emiel Krahmer

2020 ◽  
pp. 106610
Author(s):  
Kai Chen ◽  
Fayuan Li ◽  
Baotian Hu ◽  
Weihua Peng ◽  
Qingcai Chen ◽  
...  

2019 ◽  
Author(s):  
Amit Moryossef ◽  
Yoav Goldberg ◽  
Ido Dagan
Keyword(s):  

2020 ◽  
Author(s):  
Xiaoyu Shen ◽  
Ernie Chang ◽  
Hui Su ◽  
Cheng Niu ◽  
Dietrich Klakow
Keyword(s):  

2021 ◽  
Author(s):  
Ernie Chang ◽  
Xiaoyu Shen ◽  
Dawei Zhu ◽  
Vera Demberg ◽  
Hui Su
Keyword(s):  

2019 ◽  
Author(s):  
Feng Nie ◽  
Jinpeng Wang ◽  
Rong Pan ◽  
Chin-Yew Lin

CounterText ◽  
2015 ◽  
Vol 1 (3) ◽  
pp. 348-365 ◽  
Author(s):  
Mario Aquilina

What if the post-literary also meant that which operates in a literary space (almost) devoid of language as we know it: for instance, a space in which language simply frames the literary or poetic rather than ‘containing’ it? What if the countertextual also meant the (en)countering of literary text with non-textual elements, such as mathematical concepts, or with texts that we would not normally think of as literary, such as computer code? This article addresses these issues in relation to Nick Montfort's #!, a 2014 print collection of poems that presents readers with the output of computer programs as well as the programs themselves, which are designed to operate on principles of text generation regulated by specific constraints. More specifically, it focuses on two works in the collection, ‘Round’ and ‘All the Names of God’, which are read in relation to the notions of the ‘computational sublime’ and the ‘event’.


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