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Leveraging Automated Machine Learning for Text Classification:
  Evaluation of AutoML Tools and Comparison with Human Performance

Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance

7 December 2020
Matthias Blohm
Marc Hanussek
Maximilien Kintz
ArXiv (abs)PDFHTML

Papers citing "Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance"

4 / 4 papers shown
Title
A Robust Stacking Framework for Training Deep Graph Models with
  Multifaceted Node Features
A Robust Stacking Framework for Training Deep Graph Models with Multifaceted Node Features
Jiuhai Chen
Jonas W. Mueller
V. Ioannidis
Tom Goldstein
David Wipf
67
2
0
16 Jun 2022
Benchmarking Multimodal AutoML for Tabular Data with Text Fields
Benchmarking Multimodal AutoML for Tabular Data with Text Fields
Xingjian Shi
Jonas W. Mueller
Nick Erickson
Mu Li
Alexander J. Smola
LMTD
79
31
0
04 Nov 2021
SentimentArcs: A Novel Method for Self-Supervised Sentiment Analysis of
  Time Series Shows SOTA Transformers Can Struggle Finding Narrative Arcs
SentimentArcs: A Novel Method for Self-Supervised Sentiment Analysis of Time Series Shows SOTA Transformers Can Struggle Finding Narrative Arcs
Jon Chun
58
5
0
18 Oct 2021
Evaluation of Representation Models for Text Classification with AutoML
  Tools
Evaluation of Representation Models for Text Classification with AutoML Tools
Sebastian Brändle
Marc Hanussek
Matthias Blohm
Maximilien Kintz
34
2
0
24 Jun 2021
1