Papers by Andrea Schioppa

1 papers
Controlling Machine Translation for Multiple Attributes with Additive Interventions (2021.emnlp-main)

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Challenge: A standard approach for exerting control in MT is to prepend the input with a special tag to signal the desired output attribute.
Approach: They propose a vector-valued approach which allows for fine-grained control over multiple attributes simultaneously via a weighted linear combination of the corresponding vectors.
Outcome: The proposed approach achieves better control over a wider range of tasks than tagging and even fine-tuning a model trained without annotations.

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