Papers with LST tasks

1 papers
Pseudo-Bidirectional Decoding for Local Sequence Transduction (2020.findings-emnlp)

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Challenge: Local sequence transduction tasks involve massive overlapping between source and target sequences . experimental results show that Pseudo-Bidirectional Decoding improves performance of standard seq2seq models.
Approach: They propose a simple but versatile approach for local sequence transduction tasks . they propose to copy source tokens to decoder as pseudo future context .
Outcome: The proposed approach improves the performance of standard seq2seq models on LST tasks.

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