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
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
Medical Text Classification Using Convolutional Neural Networks
M Hughes, I Li, S Kotoulas
Informatics for Health, 2017
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
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, ...
Computer Science Review 46, 100511, 2022
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
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
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
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
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning
I Li, A Fabbri, S Hingmire, D Radev
COLING 2020, 2020
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
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders
I Li, V Yan, T Li, R Qu, D Radev
ACL 2021, 2021
Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations
B Yang, D Liu, T Suzumura, R Dong, I Li
In Proceedings of the 17th ACM Conference on Recommender Systems (RecSys '23), 2023
Kg-rank: Enhancing large language models for medical qa with knowledge graphs and ranking techniques
R Yang, H Liu, Q Zeng, YH Ke, W Li, L Cheng, Q Chen, J Caverlee, ...
arXiv preprint arXiv:2403.05881, 2024
Diffuser: efficient transformers with multi-hop attention diffusion for long sequences
A Feng, I Li, Y Jiang, R Ying
Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 12772 …, 2023
Global data science project for covid-19 summary report
D Garcia-Gasulla, SA Napagao, I Li, H Maruyama, H Kanezashi, ...
Variational graph autoencoding as cheap supervision for AMR coreference resolution
I Li, L Song, K Xu, D Yu
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
Large language models on wikipedia-style survey generation: an evaluation in nlp concepts
F Gao, H Jiang, M Blum, J Lu, Y Jiang, I Li
arXiv preprint arXiv:2308.10410, 2023
Recprompt: A prompt tuning framework for news recommendation using large language models
D Liu, B Yang, H Du, D Greene, A Lawlor, R Dong, I Li
arXiv preprint arXiv:2312.10463, 2023
Ehrkit: A python natural language processing toolkit for electronic health record texts
I Li, K You, X Tang, Y Qiao, L Huang, CC Hsieh, B Rosand, J Goldwasser, ...
arXiv preprint arXiv:2204.06604, 2023
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