Papers with POLAR framework

1 papers
SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings (2022.findings-emnlp)

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Challenge: Existing word embedding models lack interpretability for words .
Approach: They propose to add interpretability to word embeddings by using a POLAR framework that enables wordsense aware interpretations for pre-trained contextual word embeds.
Outcome: The proposed framework achieves comparable performance to existing embeddings across GLUE and SQuAD benchmarks.

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