I graduated from Yale University with a degree in computer science. I research natural language processing (NLP) and machine learning (ML), advised by Prof. Dragomir Radev (@ LILY lab) and Prof. John Lafferty.

My recent interests include summarization (YZMPSR'17), semantic parsing (YYYZWLR'18), commonsense inference (annotated bib), and mathematical text modeling (YL'19). I am also interested in the robustness and interpretability of machine learning techniques (especially of neural networks) in NLP (YKR'18).

I co-organize a workshop on scientific document summarization at SIGIR 2018 and SIGIR 2019.


TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts
Michihiro Yasunaga and John Lafferty
AAAI 2019.
[ paper | bibtex ]
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 | bibtex | project page ]
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 | bibtex | 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 | bibtex | 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 | bibtex ]
Robust Multilingual Part-of-Speech Tagging via Adversarial Training
Michihiro Yasunaga, Jungo Kasai and Dragomir Radev
NAACL 2018.
[ paper | bibtex | slides ]
The CL-SciSumm Shared Task 2018: Results and Key Insights
Kokil Jaidka, Michihiro Yasunaga, Muthu Kumar Chandrasekaran, Dragomir Radev and Min-Yen Kan
BIRNDL 2018.
[ paper | bibtex | project page ]
Graph-based Neural Multi-Document Summarization
Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, Ayush Pareek, Krishnan Srinivasan and Dragomir Radev
Conference on Computational Natural Language Learning (CoNLL), 2017.
[ paper | bibtex ]

Other Projects

  • Named Entity Recognition for Academic Advising
    Developed systems to recognize and link academic named entities to university database. Part of the Sapphie Project with University of Michigan and IBM Research.
  • Medical NLP
    Develop NLP technologies to analyze electronic medical records (EMR).