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Irene Li
Irene Li
Assistant Professor at University of Tokyo
Verified email at g.ecc.u-tokyo.ac.jp - Homepage
Title
Cited by
Cited by
Year
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
11422018
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
5692019
Medical Text Classification Using Convolutional Neural Networks
M Hughes, I Li, S Kotoulas
Informatics for Health, 2017
3022017
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
2312019
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
1542022
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
1132019
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
742020
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
632019
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
522018
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning
I Li, A Fabbri, S Hingmire, D Radev
COLING 2020, 2020
342020
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
342019
Kg-rank: Enhancing large language models for medical qa with knowledge graphs and ranking techniques
R Yang, H Liu, E Marrese-Taylor, Q Zeng, YH Ke, W Li, L Cheng, Q Chen, ...
arXiv preprint arXiv:2403.05881, 2024
22*2024
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
192023
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders
I Li, V Yan, T Li, R Qu, D Radev
ACL 2021, 2021
162021
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
142023
Evaluating large language models on wikipedia-style survey generation
F Gao, H Jiang, R Yang, Q Zeng, J Lu, M Blum, T She, Y Jiang, I Li
Findings of the Association for Computational Linguistics ACL 2024, 5405-5418, 2024
12*2024
RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models
D Liu, B Yang, H Du, D Greene, N Hurley, A Lawlor, R Dong, I Li
Proceedings of the 33rd ACM International Conference on Information and …, 2024
10*2024
Ascle—A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study
R Yang, Q Zeng, K You, Y Qiao, L Huang, CC Hsieh, B Rosand, ...
Journal of Medical Internet Research 26, e60601, 2024
8*2024
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
82022
Nlpbench: Evaluating large language models on solving nlp problems
L Song, J Zhang, L Cheng, P Zhou, T Zhou, I Li
arXiv preprint arXiv:2309.15630, 2023
72023
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