Papers with BLI task

2 papers
A Relaxed Matching Procedure for Unsupervised BLI (2020.acl-main)

Copied to clipboard

Challenge: Recent studies have shown that unsupervised bilingual lexicon induction is even on par with supervised methods.
Approach: They propose a relaxed matching procedure to find a more precise matching between two languages by aligning source and target embedding space bidirectionally.
Outcome: The proposed method significantly outperforms previous unsupervised methods on standard benchmarks.
Improving Word Translation via Two-Stage Contrastive Learning (2022.acl-long)

Copied to clipboard

Challenge: Existing approaches to bilingual lexicon induction (BLI) are limited to two stages, but we propose a robust and effective two-stage contrastive learning framework for the task.
Approach: They propose a two-stage contrastive learning framework for the task . they propose to refine cross-lingual linear maps between static word embeddings via a contrastive objective and integrate it into the self-learning procedure for even more refined cross-linguistic maps.
Outcome: The proposed framework improves cross-lingual maps and word translation capability by integrating it into the self-learning procedure.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations