Papers with general-purpose bootstrapping approaches
Strong Baselines for Neural Semi-Supervised Learning under Domain Shift (P18-1)
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| Challenge: | Existing neural models for learning under domain shifts only evaluate on a single task, on proprietary datasets, or compare to weak baselines. |
| Approach: | They propose a multi-task tri-training method that reduces time and space complexity of classic bootstrapping approaches. |
| Outcome: | The proposed method outperforms the state-of-the-art for sentiment analysis on two benchmarks. |