Papers with linear projections

2 papers
Why Overfitting Isn’t Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries (2020.acl-main)

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Challenge: Recent studies only evaluate cross-lingual word embeddings on bilingual lexicon induction (BLI) however, underfitting can hinder generalization to other downstream tasks.
Approach: They retrofit cross-lingual word embeddings to the training dictionary and a synthetic dictionary to improve their results.
Outcome: The proposed method improves accuracy on two downstream tasks, despite underfitting the training dictionary.
What Happens to a Dataset Transformed by a Projection-based Concept Removal Method? (2024.lrec-main)

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Challenge: A number of recent methods have used linear projections to remove information about a concept from a language representation.
Approach: They propose to use linear projections to remove a concept from a language representation to create a transformed set of word embeddings.
Outcome: The proposed methods inject strong statistical dependencies into the transformed datasets.

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