Yui Uehara

Affiliation

Assistant Professor at Kanagawa University (Faculty of Informatics), Japan.

Research Interests

My research interests focus on data-oriented modeling of musical structures. I am also involved in studies of Natural Language Processing (NLP), experiencing approaches for sequential data and syntactic structure, which are common to both music and language.

Publications

Journal papers

  1. Unsupervised Discovery of Tonality in Bach’s Chorales: Yui Uehara, Satoshi Tojo, and Ryuhei Uehara, Journal of Intelligence Informatics and Smart Technology, volume 8, October 2022 [paper]

  2. Chord Function Recognition as Latent State Transition: Yui Uehara and Satoshi Tojo, SN Computer Science, 3:508, Springer, 2022 [paper] [code]

  3. Learning to Select, Track, and Generate for Data-to-Text: Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji Aramaki, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki, Hiroya Takamura, 自然言語処理, vol.27, No.3, pp.599–626, 2020 [paper]

Conference Papers (Refereed)

  1. Unsupervised Harmonic Analysis with Code Quality Templates: Yui Uehara, 11th International Conference on New Music Concepts (ICNMC2024) [paper] [code]

  2. Pretraining Language- and Domain-Specific BERT on Automatically Translated Text: Tatsuya Ishigaki, Yui Uehara, Goran Topić, and Hiroya Takamura, 14th International Conference on Recent Advances in Natural Language Processing (RANLP2023) [paper]

  3. Unsupervised Discovery of Tonality in Bach’s Chorales: Yui Uehara, Satoshi Tojo, and Ryuhei Uehara, The Sixteenth International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2021)

  4. The Simulated Emergence of Chord Function: Yui Uehara and Satoshi Tojo, 10th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART2021) [paper] [code]

  5. Learning with Contrastive Examples for Data-to-Text Generation: Yui Uehara, *Tatsuya Ishigaki (Equal contribution), Kasumi Aoki, Hiroshi Noji, Keiichi Goshima, Ichiro Kobayashi, Hiroya Takamura, Yusuke Miyao, 28th International Conference on Computational Linguistics (COLING2020) [paper] [bib] [code]

  6. Market Comment Generation from Data with Noisy Alignments: Yumi Hamazono, Yui Uehara, Hiroshi Noji, Yusuke Miyao, Hiroya Takamura, Ichiro Kobayashi, 13th International Conference on Natural Language Generation (INLG2020) [paper] [bib]

  7. Jazz Harmony Analysis with ∈-Transition and Cadential Shortcut: Hiroyuki Yamamoto, Yui Uehara, Satoshi Tojo, 17th Sound and Music Computing Conference (SMC2020) [paper]

  8. Expectation-based Parsing for Jazz Chord Sequences: Yuta Ogura, Hidefumi Ohmura, Yui Uehara, Satoshi Tojo, Kouichi Katsurada, 17th Sound and Music Computing Conference (SMC2020) [paper]

  9. Chord Function Identification with Modulation Detection Based on HMM: Yui Uehara, Eita Nakamura, Satoshi Tojo, 14th International Symposium on Computer Music Multidisciplinary Research (CMMR 2019) [Post-proceedings]

  10. Learning to select, track, and generate for data-to-text: Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji Aramaki, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki, Hiroya Takamura, 57th Annual Meeting of the Association for Computational Linguistics (ACL2019) [paper] [bib]

  11. Computational Detection of Local Cadence on Revised TPS: Masaki Matsubara, Yuki Ishiwa, Yui Uehara, Satoshi Tojo, The 3rd conference on Computer Simulation of Musical Creativity (CSMC 2018) [paper]

Education

September 2022 Ph.D. in Information Science, Japan Advanced Institute of Science and Technology (JAIST), Japan

March 2019 Master of Science (Information Science), Japan Advanced Institute of Science and Technology (JAIST), Japan

March 2008 Bachelor of Integrated Human Studies, Kyoto University, Japan

Experience

April 2023 - Today: Assistant Professor, Kanagawa University, Japan.

October 2022 - March 2023: Postdoctoral researcher, Knowledge and Information Research Team in Artificial Intelligence Research Center (AIST), Tokyo, Japan.

July 2018 - September 2022: Technical Staff, Knowledge and Information Research Team in Artificial Intelligence Research Center (AIST), Tokyo, Japan.