When is multitask learning effective? Semantic sequence prediction under varying data conditions

@inproceedings{Plank2017WhenIM,
  title={When is multitask learning effective? Semantic sequence prediction under varying data conditions},
  author={Barbara Plank and H{\'e}ctor Mart{\'i}nez Alonso},
  booktitle={EACL},
  year={2017}
}
Multitask learning has been applied successfully to a range of tasks, mostly morphosyntactic. However, little is known on when MTL works and whether there are data characteristics that help to determine its success. In this paper we evaluate a range of semantic sequence labeling tasks in a MTL setup. We examine different auxiliary tasks, amongst which a… CONTINUE READING

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