no code implementations • EMNLP 2020 • Naitian Zhou, David Jurgens
Here, we develop computational tools to create a massive dataset of 11. 4M expressions of distress and 2. 8M corresponding offerings of condolence in order to examine the dynamics of condolence online.
1 code implementation • 15 Nov 2023 • Naitian Zhou, David Jurgens, David Bamman
Much work in the space of NLP has used computational methods to explore sociolinguistic variation in text.
1 code implementation • 16 Dec 2022 • Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang, Naitian Zhou, Jackson Sargent, Apostolos Dedeloudis, David Jurgens
We present POTATO, the Portable text annotation tool, a free, fully open-sourced annotation system that 1) supports labeling many types of text and multimodal data; 2) offers easy-to-configure features to maximize the productivity of both deployers and annotators (convenient templates for common ML/NLP tasks, active learning, keypress shortcuts, keyword highlights, tooltips); and 3) supports a high degree of customization (editable UI, inserting pre-screening questions, attention and qualification tests).