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Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review


Jul 07, 2021
Irene Li, Jessica Pan, Jeremy Goldwasser, Neha Verma, Wai Pan Wong, Muhammed Yavuz Nuzumlal─▒, Benjamin Rosand, Yixin Li, Matthew Zhang, David Chang, R. Andrew Taylor, Harlan M. Krumholz, Dragomir Radev

* 33 pages, 11 figures 

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Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders


May 27, 2021
Irene Li, Vanessa Yan, Tianxiao Li, Rihao Qu, Dragomir Radev

* Accepted by ACL 2021 

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Heterogeneous Graph Neural Networks for Multi-label Text Classification


Mar 26, 2021
Irene Li, Tianxiao Li, Yixin Li, Ruihai Dong, Toyotaro Suzumura

* 8 tables, 4 figures 

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Detecting Bias in Transfer Learning Approaches for Text Classification


Feb 03, 2021
Irene Li

* 3 figures 

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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 Nuzumlal─▒, 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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