About

I am currently a search engineer at Amazon Japan and its subsidiary A9.com. My Japanese name is “藤沼祥成”.

My main interest is on Natural Language Processing and Machine Learning. On the method side, I am intersted in unsupervised/semi-supervised/distant-supervised learning, or making use of unlabeled data because it requires less human burden. On the application side, I am interested in cross-lingual processing on Japanese or other Asian languages. Japanese (or Chinese, Korean, etc.) is an unsegmented language and this fact makes it difficult to tokenize (word segmentation and POS-tagging) when compared to English.

You can find me on LinkedIn, Twitter, and Github.

Publication

• Yoshinari Fujinuma, Hikaru Yokono, Pascual Martinez-Gomez, Akiko Aizawa: “Distant-supervised Language Model for Detecting Emotional Upsurge on Twitter”, The 29th Pacific Asia Conference on Language, Information and Computation, Nov. 2015 pdf

Other Talks

• IT業界における英語とプログラミングの関係性(English and Programming in Academia and Industry for Japanese Junior Students) at Tokyo Metropolitan University, April 2016
• Query Understanding behind Product Search at NII, April 2016
• Query Understanding behind Product Search at Tohoku University, Feburary 2016
• 言語モデル入門(Introduction to Language Models), April 2014

OSS Projects

• Kuromoji FST: A finite-state transducer for efficient key-value lookup.

My Personal Notes

• PCFG related notes

Email address

fujinumay at gmail dot com