Papers by Risa Kondo
Disentangling Meaning and Language Components in Diverse Multilingual Sentence Embeddings (2026.acl-srw)
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| Challenge: | Existing studies have reported language specificity in multilingual sentence embeddings, resulting in language-specific subspaces. |
| Approach: | They propose to disentangle multilingual sentence embeddings into language-dependent and language-agnostic components to improve cross-lingual similarity estimation. |
| Outcome: | The proposed methods improve cross-lingual similarity estimation across multiple embeddings. |
Paraphrase-based Contrastive Learning for Sentence Pair Modeling (2025.naacl-srw)
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| Challenge: | Existing methods to improve performance of sentence pair modeling are not available on a large-scale for non-English languages. |
| Approach: | They propose a method to apply contrastive learning to pre-trained masked language models . they use sentence embeddings of paraphrase pairs to make similar sentences . |
| Outcome: | The proposed method can be used on four sentence pair modeling tasks in English and Japanese. |