Frozen embeddings from simple task-tuned BERT models, especially paraphrase detection, transfer useful knowledge to coreference resolution, and attention-based combination of several models outperforms single models.
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Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution
Frozen embeddings from simple task-tuned BERT models, especially paraphrase detection, transfer useful knowledge to coreference resolution, and attention-based combination of several models outperforms single models.