Thanks for stopping by my website!

I am a first-year PhD student in Computer Science at Stanford University. I work on natural language processing and machine learning.

Prior to Stanford, I received a B.S. in Computer Science from Yale University. While at Yale, I had the privilege of working with Prof. Dragomir Radev (@ LILY lab) and Prof. John Lafferty.

My recent projects include text summarization (YZMPSR'17), semantic parsing (YYYZWLR'18), mathematical writing (YL'19), and interpretability of neural networks (YKR'18). I also co-organize a workshop on scientific document summarization at SIGIR 2018 and SIGIR 2019.

Publications

2019

• A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation
  Irene Li, Michihiro Yasunaga, Muhammed Yavuz Nuzumlalı, Cesar Caraballo, Shiwani Mahajan, Harlan Krumholz and Dragomir Radev
  NeurIPS -- ML for Health workshop, 2019.   [ paper | bib | project page ]
• CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
  Tao Yu, Rui Zhang, He Yang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter Lasecki and Dragomir Radev
  EMNLP 2019.   [ paper | bib | project page | blog | slides ]
• SParC: Cross-Domain Semantic Parsing in Context
  Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher and Dragomir Radev
  ACL 2019.   [ paper | bib | project page | blog ]
• TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts
  Michihiro Yasunaga and John Lafferty
  AAAI 2019.   [ paper | bib ]
• ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks
  Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander Fabbri, Irene Li, Dan Friedman and Dragomir Radev
  AAAI 2019.   [ paper | bib | project page ]
• Overview and Results of CL-SciSumm Shared Task 2019
  Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir Radev, Dayne Freitag and Min-Yen Kan
  SIGIR -- BIRNDL workshop, 2019.   [ paper | bib | project page ]

2018

• SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task
  Tao Yu, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang, Zifan Li and Dragomir Radev
  EMNLP 2018.   [ paper | bib | project page | blog ]
• Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
  Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang and Dragomir Radev
  EMNLP 2018.   [ paper | bib | project page | blog ]
• Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering
  Rui Zhang, Cicero Nogueira dos Santos, Michihiro Yasunaga, Bing Xiang and Dragomir Radev
  ACL 2018.   [ paper | bib ]
• Robust Multilingual Part-of-Speech Tagging via Adversarial Training
  Michihiro Yasunaga, Jungo Kasai and Dragomir Radev
  NAACL 2018.   [ paper | bib | slides | code ]

2017

• Graph-based Neural Multi-Document Summarization
  Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, Ayush Pareek, Krishnan Srinivasan and Dragomir Radev
  CoNLL 2017.   [ paper | bib ]

Other Projects

• Named Entity Recognition for Academic Advising
  Developed systems to recognize and link academic named entities to university database. Part of the Sapphire Project with University of Michigan and IBM Research.
• Medical NLP
  Developed NLP technologies to analyze electronic health records (EHR). Collaboration with Yale School of Medicine.