Joint Learning Task
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A Joint Learning Task is a learning task that involves the learning to two or more connected tasks.
- See: Joint Inference.
References
2012
- (Bordes et al., 2012) ⇒ Antoine Bordes, Xavier Glorot, Jason Weston, and Yoshua Bengio. (2012). “Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing.” In: Proceedings of the International Conference on Artificial Intelligence and Statistics, pp. 127-135. 2012.
2006
- (Liang et al., 2006) ⇒ Percy Liang, Ben Taskar, and Dan Klein. (2006). “Alignment by Agreement.” In: Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics. doi:10.3115/1220835.1220849
- QUOTE: Compared to the standard practice of intersecting predictions of independently-trained models, joint training provides a 32% reduction in AER.