Papers with selection of embeddings

1 papers
Automated Concatenation of Embeddings for Structured Prediction (2021.acl-long)

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Challenge: Recent work shows that better word representations can be obtained by concatenating different types of embeddings.
Approach: They propose to automate the process of finding better concatenated embeddings for structured prediction tasks by concatending different types of embeddables.
Outcome: The proposed approach outperforms baselines and achieves state-of-the-art with fine-tuned embeddings on 6 tasks and 21 datasets.

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