Irene Li
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Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task
T Yu, R Zhang, K Yang, M Yasunaga, D Wang, Z Li, J Ma, I Li, Q Yao, ...
arXiv preprint arXiv:1809.08887, 2018
2792018
Medical Text Classification Using Convolutional Neural Networks
M Hughes, I Li, S Kotoulas, T Suzumura
Informatics for Health, 2017
1622017
Multi-news: a large-scale multi-document summarization dataset and abstractive hierarchical model
AR Fabbri, I Li, T She, S Li, DR Radev
ACL 2019, 2019
1582019
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks
M Yasunaga, K Jungo, Z Rui, F Alexander, L Irene, D Friedman, ...
AAAI 2019, 2019
862019
Sparc: Cross-domain semantic parsing in context
T Yu, R Zhang, M Yasunaga, YC Tan, XV Lin, S Li, H Er, I Li, B Pang, ...
arXiv preprint arXiv:1906.02285, 2019
302019
What are we depressed about when we talk about covid19: Mental health analysis on tweets using natural language processing
I Li, Y Li, T Li, S Alvarez-Napagao, G Garcia-Gasulla, T Suzumura
Fortieth SGAI International Conference on Artificial Intelligence 2020, 2020
282020
Tutorialbank: A manually-collected corpus for prerequisite chains, survey extraction and resource recommendation
AR Fabbri, I Li, P Trairatvorakul, Y He, WT Ting, R Tung, C Westerfield, ...
ACL 2018, 2018
282018
What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning
I Li, A Fabbri, R Tung, D Radev
AAAI 2019, 2019
222019
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning
I Li, A Fabbri, S Hingmire, D Radev
COLING 2020, 2020
72020
A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation
I Li, M Yasunaga, MY Nuzumlalı, C Caraballo, S Mahajan, H Krumholz, ...
Machine Learning for Health Workshop, NeurIPS 2019, 2019
62019
Global Data Science Project for COVID-19 Summary Report
D Garcia-Gasulla, SA Napagao, I Li, H Maruyama, H Kanezashi, ...
arXiv preprint arXiv:2006.05573, 2020
42020
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders
I Li, V Yan, T Li, R Qu, D Radev
ACL 2021, 2021
22021
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
I Li, J Pan, J Goldwasser, N Verma, WP Wong, MY Nuzumlalı, B Rosand, ...
arXiv preprint arXiv:2107.02975, 2021
12021
Detecting Bias in Transfer Learning Approaches for Text Classification
I Li
arXiv preprint arXiv:2102.02114, 2021
12021
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation
I Li, T George, A Fabbri, T Liao, B Chen, R Kawamura, R Zhou, V Yan, ...
arXiv preprint arXiv:2201.02312, 2022
2022
CLICKER: A Computational LInguistics Classification Scheme for Educational Resources
S Hingmire, I Li, R Kawamura, B Chen, A Fabbri, X Tang, Y Liu, T George, ...
arXiv preprint arXiv:2112.08578, 2021
2021
Surfer100: Generating Surveys From Web Resources on Wikipedia-style
I Li, A Fabbri, R Kawamura, Y Liu, X Tang, J Tae, C Shen, S Ma, ...
arXiv preprint arXiv:2112.06377, 2021
2021
Efficient Variational Graph Autoencoders for Unsupervised Cross-domain Prerequisite Chains
I Li, V Yan, D Radev
ENLSP Workshop, NeurIPS 2021, 2021
2021
Heterogeneous Graph Neural Networks for Multi-label Text Classification
I Li, T Li, Y Li, R Dong, T Suzumura
arXiv preprint arXiv:2103.14620, 2021
2021
Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting
I Li, P Sen, H Zhu, Y Li, D Radev
Association for Computational Linguistics, Proceedings of the 6th Workshop …, 2021
2021
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