Putting Humans in the Natural Language Processing Loop: A Survey

no code implementations • EACL (HCINLP) 2021 • Zijie J. Wang, Dongjin Choi, Shenyu Xu, Diyi Yang

How can we design Natural Language Processing (NLP) systems that learn from human feedback?

CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs

1 code implementation • 7 Sep 2020 • Dylan Cashman, Shenyu Xu, Subhajit Das, Florian Heimerl, Cong Liu, Shah Rukh Humayoun, Michael Gleicher, Alex Endert, Remco Chang

In this paper, we present CAVA, a system that integrates data curation and data augmentation with the traditional data exploration and analysis tasks, enabling information foraging in-situ during analysis.

Data Augmentation Knowledge Graphs