251 citations · 429 across the 10 of their papers we have counts for
4 papers · 1 filter
Extracting and Inferring Personal Attributes from Dialogue
Zhilin Wang, Xuhui Zhou, Rik Koncel-Kedziorski +2
Personal attributes represent structured information about a person, such as their hobbies, pets, family, likes and dislikes. We introduce the tasks of extracting and inferring per…
The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation
Ernie Chang, Xiaoyu Shen, Alex Marin +1
We propose a shared task on training instance selection for few-shot neural text generation. Large-scale pretrained language models have led to dramatic improvements in few-shot te…
Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling
Ernie Chang, Vera Demberg, Alex Marin
Neural natural language generation (NLG) and understanding (NLU) models are data-hungry and require massive amounts of annotated data to be competitive. Recent frameworks address t…
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…