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Global Data Science Project for COVID-19 Summary Report

Jun 10, 2020
Dario Garcia-Gasulla, Sergio Alvarez Napagao, Irene Li, Hiroshi Maruyama, Hiroki Kanezashi, Raquel P'erez-Arnal, Kunihiko Miyoshi, Euma Ishii, Keita Suzuki, Sayaka Shiba, Mariko Kurokawa, Yuta Kanzawa, Naomi Nakagawa, Masatoshi Hanai, Yixin Li, Tianxiao Li

* 42 pages, 49 figures 

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What are We Depressed about When We Talk about COVID19: Mental Health Analysis on Tweets Using Natural Language Processing

Apr 29, 2020
Irene Li, Yixin Li, Tianxiao Li, Sergio Alvarez-Napagao, Dario Garcia

* 7 pages, 7 figures 

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R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning

Apr 22, 2020
Irene Li, Alexander Fabbri, Swapnil Hingmire, Dragomir Radev

* 2 Figures, 3 Tables, 9 Pages 

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A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation

Oct 30, 2019
Irene Li, Michihiro Yasunaga, Muhammed Yavuz Nuzumlalı, Cesar Caraballo, Shiwani Mahajan, Harlan Krumholz, Dragomir Radev


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ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks

Sep 16, 2019
Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev

* AAAI 2019 

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ScisummNet: A Large Annotated Dataset and Content-Impact Models for Scientific Paper Summarization with Citation Networks

Sep 04, 2019
Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev

* AAAI 2019 

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Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model

Jun 19, 2019
Alexander R. Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir R. Radev

* ACL 2019, 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, 2019 

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SParC: Cross-Domain Semantic Parsing in Context

Jun 05, 2019
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, Dragomir Radev

* Accepted to ACL 2019, long paper 

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What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning

Nov 26, 2018
Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev


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Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Oct 25, 2018
Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, Dragomir Radev

* EMNLP 2018, Long Paper 

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TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation

May 11, 2018
Alexander R. Fabbri, Irene Li, Prawat Trairatvorakul, Yijiao He, Wei Tai Ting, Robert Tung, Caitlin Westerfield, Dragomir R. Radev

* ACL 2018, 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia, 2018 

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Medical Text Classification using Convolutional Neural Networks

Apr 22, 2017
Mark Hughes, Irene Li, Spyros Kotoulas, Toyotaro Suzumura


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