This is a website for my work!

Thank you for your visiting and interests in my work. I hope you enjoy my website. Also, I'm always looking for interesting projects, works, collaborations or something I can contribute. Please feel free to contact me, your offer is more than welcome.

EMAIL : tonishi(at)ttic.edu

About me

My brief self-introduction.

Publication List

  • Emergent Predication Structure in Hidden State Vectors of Neural Readers
    Hai Wang, Takeshi Onishi, Kevin Gimpel, David McAllester.
    Accepted for Repl4NLP: 2nd Workshop on Representation Learning for NLP, August 2017
  • Who did What: A large-scale person-centered cloze dataset
    Takeshi Onishi, Hai Wang, Mohit Bansal, Kevin Gimpel, and David McAllester.
    In Proceedings of Empirical Methods in Natural Language Processing, Austin, Texas, November 2016

Works and Activities

Here is my works and fun activities!

Workshop @Northwestern University

I had a presentation about my work, Relation Extraction with Weakly Supervised Learning Based on Process-Structure-Property-Performance Reciprocity, at a workshop in Northwestern University.

Internship @Adobe

I’m working for Adobe as an intern during the summer (June - September)! This is my first trip to the Bay area and San Jose! I’m so excited about the research project and the new city!

Workshop @Northwestern University

My work in NIMS is presented at the joint workshop of NIMS and Northwestern University! My work named CAMaD is on the way to publishing!

Visiting and talks @TTI-J

I visited Toyota Technological Institute in Japan (TTI-J) I’ve graduated 4-years ago and gave a talk to students about my research project in NIMS.

Who-did-What @EMNLP2016

Our paper is accepted by EMNLP 2016, and I made a presentation about it in EMNLP 2016.

Internship @NIMS

I’m working for National Institute for Material Science(NIMS) in Japan as my internship ( Oct - Dec 2016). My research project is “causal relation extraction from natural language texts for material development” which includes distant supervision for relation extraction and keyword/phrase detection technologies.