Papers by Youssef Tamaazousti

1 papers
Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging (N19-1)

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Challenge: Pre-trained neural networks struggle with learning uncommon target-specific patterns.
Approach: They propose to augment the target-network with normalised, weighted and randomly initialised units that beget a better adaptation while maintaining valuable source knowledge.
Outcome: The proposed method achieves state-of-the-art on 3 commonly used datasets.

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