Papers with cross-lingual representation

2 papers
Do Explicit Alignments Robustly Improve Multilingual Encoders? (2020.emnlp-main)

Copied to clipboard

Challenge: Explicit alignment objectives based on bitexts like Europarl and MultiUN have been shown to improve cross-lingual representations.
Approach: They propose a new contrastive alignment objective that can better utilize bitexts . they propose to use a random sample of 1 million pair subset of OPUS data .
Outcome: The proposed objective outperforms existing alignment objectives on a random 1 million pair subset of the OPUS dataset.
Toward the Limitation of Code-Switching in Cross-Lingual Transfer (2022.emnlp-main)

Copied to clipboard

Challenge: Recent studies have shown the success of multilingual pretrained models for cross-lingual knowledge transfer.
Approach: They propose to make code-switched sentences replace tokens from multiple languages so they are grammatically consistent . they also consider the similarity between context and the switched tokens to ensure that the newly substituted sentences are grammatically consistent - a limitation that could affect inference .
Outcome: The proposed method outperforms the mBERT and original code-switching method on cross-lingual POS and Named-Entity-Recognition tasks on 30+ languages.

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