9 citations · 13 across the 7 of their papers we have counts for
3 papers · 1 filter
EASE: An Easily-Customized Annotation System Powered by Efficiency Enhancement Mechanisms
Naihao Deng, Yikai Liu, Mingye Chen +5
The performance of current supervised AI systems is tightly connected to the availability of annotated datasets. Annotations are usually collected through annotation tools, which a…
You Are What You Annotate: Towards Better Models through Annotator Representations
Naihao Deng, Xinliang Frederick Zhang, Siyang Liu +3
Annotator disagreement is ubiquitous in natural language processing (NLP) tasks. There are multiple reasons for such disagreements, including the subjectivity of the task, difficul…
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models
Oana Ignat, Zhijing Jin, Artem Abzaliev +19
Recent progress in large language models (LLMs) has enabled the deployment of many generative NLP applications. At the same time, it has also led to a misleading public discourse t…