Papers with cross-encoder manner
Improving Bilingual Lexicon Induction with Cross-Encoder Reranking (2022.findings-emnlp)
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| Challenge: | Current methods for bilingual lexicon induction rely on the induction of cross-lingual word embeddings (CLWEs) such as VecMap or mPLMs are not available for multilingual NLP. |
| Approach: | They propose a semi-supervised post-hoc reranking method which combines cross-lingual lexical knowledge from multilingual pretrained language models with original CLWEs. |
| Outcome: | The proposed method outperforms existing methods on two standard benchmarks spanning a wide spectrum of languages and is robust to different CLWEs. |