Risa Kondo
Risa Kondo has 2 papers in our library, in 2026, most of them on Multilingual & cross-lingual NLP; often with Kanade Nonomura, Keita Fukushima, Tomoyuki Kajiwara.
OpenAlex · ORCID · h-index 1 · 13 works · 2 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 5 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #11251
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 1Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 2 works
Works by year
2020s
Papers
- Disentangling Meaning and Language Components in Diverse Multilingual Sentence Embeddings (2026 · 1 citation)
Multilingual sentence embeddings often carry language-identity signals, so vectors group by language instead of by meaning, which weakens cross-lingual similarity estimation. - Mitigating Language Bias in Multilingual Sentence Embeddings for Cross-Lingual Similarity Estimation (2026 · 1 citation)
Multilingual sentence embeddings tend to group by language, which hurts cross-lingual tasks. Disentanglement methods address this by splitting an embedding into a language-agnostic "meaning" part and a language-specific part. This paper takes the SEED framework, where an MLP extracts the meaning vector and the…
All works
- EhiMeNLP at TSAR 2025 Shared Task Candidate Generation via Iterative Simplification and Reranking by Readability and Semantic Similarity ↗Proceedings of the Fourth Workshop on Text Simplification, Accessibility and Readability (TSAR 2025) · no summary yetRina Miyata et al.2025 · 3 citations
- Disentangling Meaning and Language Components in Diverse Multilingual Sentence EmbeddingsAnnual Meeting of the Association for Computational Linguistics (ACL)Kanade Nonomura, Keita Fukushima, Risa Kondo, et al.2026 · 1 citation
- Mitigating Language Bias in Multilingual Sentence Embeddings for Cross-Lingual Similarity EstimationJoint Conference on Lexical and Computational Semantics (*SEM)Kanade Nonomura, Keita Fukushima, Risa Kondo, et al.2026 · 1 citation
- Paraphrase-based Contrastive Learning for Sentence Pair Modeling ↗Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop) · no summary yetSeiji Sugiyama et al.2025 · 1 citation
- Paraphrase Acquisition via Bilingual Pivoting Based on Neural Word Alignment ↗Proceedings of the Workshop on Structured Linguistic Data and Evaluation (SLiDE) · no summary yetRisa Kondo et al.2026
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Joint Conference on Lexical and Computational Semantics (*SEM): *SEM 2026
- Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)
- Proceedings of the Fourth Workshop on Text Simplification, Accessibility and Readability (TSAR 2025)
- Proceedings of the Workshop on Structured Linguistic Data and Evaluation (SLiDE)
Cited by
Updated
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