Semi-Supervised Active Learning Algorithm

A Semi-Supervised Active Learning Algorithm is an active learning algorithm that is a semi-supervised learning algorithm.

• Context:
  • It can be applied by a Semi-Supervised Active Learning System (to solve a Semi-Supervised Active Learning Task).
• Example(s):
  • that described in Tomanek & Hahn (2009).
  • …
• Counter-Example(s):
  • a Fully-Supervised Active Learning Algorithm.
• See: Unsupervised Learning.

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References

2015

• (Dai & Le, 2015) ⇒ Andrew M. Dai, and Quoc V. Le. (2015). “Semi-supervised Sequence Learning.” In: Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 2.

2009

• (Tomanek & Hahn, 2009) ⇒ Katrin Tomanek, and Udo Hahn. (2009). “Semi-supervised Active Learning for Sequence Labeling.” In: Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP (ACL 2009).

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