565 citations · 632 across the 20 of their papers we have counts for
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DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool
Ernie Chang, Jeriah Caplinger, Alex Marin +2
We present a lightweight annotation tool, the Data AnnotatoR Tool (DART), for the general task of labeling structured data with textual descriptions. The tool is implemented as an…
Safe Handover in Mixed-Initiative Control for Cyber-Physical Systems
Frederik Wiehr, Anke Hirsch, Florian Daiber +7
For mixed-initiative control between cyber-physical systems (CPS) and its users, it is still an open question how machines can safely hand over control to humans. In this work, we…
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence
Xiaoyu Shen, Ernie Chang, Hui Su +2
The neural attention model has achieved great success in data-to-text generation tasks. Though usually excelling at producing fluent text, it suffers from the problem of informatio…
Unsupervised Pidgin Text Generation By Pivoting English Data and Self-Training
Ernie Chang, David Ifeoluwa Adelani, Xiaoyu Shen +1
West African Pidgin English is a language that is significantly spoken in West Africa, consisting of at least 75 million speakers. Nevertheless, proper machine translation systems…