Yoshinari Fujinuma (藤沼祥成)

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I’m currently an applied scientist at AWS AI Labs. I earned a computer science PhD with focus on cross-lingual NLP from University of Colorado Boulder.

Fill free to ping me on Twitter, Github, or by E-mail. (E-mail is the best way to contact me.)

My CV is here.

My Erdös number is 3.

news

Mar 19, 2024 One short paper accepted to EMNLP main titled “M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation “. The preprint will become available soon!
Jan 12, 2024 I visited Tohoku University and gave a talk titled “Recent Trends in Multilingual NLP focusing on Visually-Rich Documents and a Retrospective on my US PhD”.
Dec 21, 2023 I visited Nara Institute of Science and Technology and gave a talk titled “Recent Trends in Multilingual NLP focusing on Visually-Rich Documents and a Retrospective on my US PhD”.

selected publications

2022

  1. ACL
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    Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability
    Yoshinari Fujinuma, Jordan Boyd-Graber, and Katharina Kann
    In Proceedings of the Association for Computational Linguistics (ACL), 2022
    PDF Code Talk (English) Talk (Japanese) Poster Slides

2019

  1. ACL
    acl2019_preview.png
    A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings based on Graph Modularity
    Yoshinari Fujinuma, Jordan Boyd-Graber, and Michael J. Paul
    In Proceedings of the Association for Computational Linguistics (ACL), 2019
    PDF Code Talk (English) Slides