activity
20222025
most citedCombining Data Generation and Active Learning for Low-Resource Question Answering

1 citations · 1 across the 7 of their papers we have counts for

collaborators
Showing 2022Show all

2 papers · 1 filter

cs.CL2022★ 1 cited

Combining Data Generation and Active Learning for Low-Resource Question Answering

Maximilian Kimmich, Andrea Bartezzaghi, Jasmina Bogojeska +2

Neural approaches have become very popular in Question Answering (QA), however, they require a large amount of annotated data. In this work, we propose a novel approach that combin…

cs.LG2022

Enabling Reproducibility and Meta-learning Through a Lifelong Database of Experiments (LDE)

Jason Tsay, Andrea Bartezzaghi, Aleke Nolte +1

Artificial Intelligence (AI) development is inherently iterative and experimental. Over the course of normal development, especially with the advent of automated AI, hundreds or th…