Irene Li

According to our database, Irene Li authored at least 40 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques.

Rui Yang, Haoran Liu, Edison Marrese-Taylor, Qingcheng Zeng, Yuhe Ke, Wanxin Li, Lechao Cheng, Qingyu Chen, James Caverlee, Yutaka Matsuo, Irene Li

CoRR, 2024

Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling.

Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel Kessler, Eric Ma, Tal August, Irene Li, Alex 'Sandy' Pentland, Yoon Kim, Jad Kabbara, Deb Roy

CoRR, 2024

Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education.

Rui Yang, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li

CoRR, 2024

Better Explain Transformers by Illuminating Important Information.

Linxin Song, Yan Cui, Ao Luo, Freddy Lécué, Irene Li

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

RecPrompt: A Prompt Tuning Framework for News Recommendation Using Large Language Models.

Dairui Liu, Boming Yang, Honghui Du, Derek Greene, Aonghus Lawlor, Ruihai Dong, Irene Li

CoRR, 2023

MedGen: A Python Natural Language Processing Toolkit for Medical Text Processing.

Rui Yang, Qingcheng Zeng, Keen You, Yujie Qiao, Lucas Huang, Chiachun Hsieh, Benjamin Rosand, Jeremy Goldwasser, Amisha D. Dave, Tiarnan D. L. Keenan, Emily Y. Chew, Dragomir Radev, Zhiyong Lu, Hua Xu, Qingyu Chen, Irene Li

CoRR, 2023

Integrating UMLS Knowledge into Large Language Models for Medical Question Answering.

Rui Yang, Edison Marrese-Taylor, Yuhe Ke, Lechao Cheng, Qingyu Chen, Irene Li

CoRR, 2023

NLPBench: Evaluating Large Language Models on Solving NLP Problems.

Linxin Song, Jieyu Zhang, Lechao Cheng, Pengyuan Zhou, Tianyi Zhou, Irene Li

CoRR, 2023

Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts.

Fan Gao, Hang Jiang, Moritz Blum, Jinghui Lu, Yuang Jiang, Irene Li

CoRR, 2023

Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations.

Boming Yang, Dairui Liu, Toyotaro Suzumura, Ruihai Dong, Irene Li

CoRR, 2023

Topic-Centric Explanations for News Recommendation.

Dairui Liu, Derek Greene, Irene Li, Ruihai Dong

CoRR, 2023

✨ Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations.

Boming Yang, Dairui Liu, Toyotaro Suzumura, Ruihai Dong, Irene Li

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

NNKGC: Improving Knowledge Graph Completion with Node Neighborhoods.

Irene Li, Boming Yang

Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2023) co-located with the 21th International Semantic Web Conference (ISWC 2023), 2023

A Transfer Learning Pipeline for Educational Resource Discovery with Application in Survey Generation.

Irene Li, Thomas George, Alexander R. Fabbri, Tammy Liao, Benjamin Chen, Rina Kawamura, Richard Zhou, Vanessa Yan, Swapnil Hingmire, Dragomir Radev

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

HiPool: Modeling Long Documents Using Graph Neural Networks.

Irene Li, Aosong Feng, Dragomir Radev, Rex Ying

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences.

Aosong Feng, Irene Li, Yuang Jiang, Rex Ying

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Neural Natural Language Processing for unstructured data in electronic health records: A review.

Irene Li, Jessica Pan, Jeremy Goldwasser, Neha Verma, Wai Pan Wong, Muhammed Yavuz Nuzumlali, Benjamin Rosand, Yixin Li, Matthew Zhang, David Chang, Richard Andrew Taylor, Harlan M. Krumholz, Dragomir Radev

Comput. Sci. Rev., 2022

EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts.

Irene Li, Keen You, Xiangru Tang, Yujie Qiao, Lucas Huang, Chiachun Hsieh, Benjamin Rosand, Dragomir R. Radev

CoRR, 2022

A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation.

Irene Li, Thomas George, Alexander R. Fabbri, Tammy Liao, Benjamin Chen, Rina Kawamura, Richard Zhou, Vanessa Yan, Swapnil Hingmire, Dragomir R. Radev

CoRR, 2022

Surfer100: Generating Surveys From Web Resources, Wikipedia-style.

Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir Radev

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution.

Irene Li, Linfeng Song, Kun Xu, Dong Yu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

CLICKER: A Computational LInguistics Classification Scheme for Educational Resources.

Swapnil Hingmire, Irene Li, Rena Kawamura, Benjamin Chen, Alexander R. Fabbri, Xiangru Tang, Yixin Liu, Thomas George, Tammy Liao, Wai Pan Wong, Vanessa Yan, Richard Zhou, Girish K. Palshikar, Dragomir R. Radev

CoRR, 2021

Efficient Variational Graph Autoencoders for Unsupervised Cross-domain Prerequisite Chains.

Irene Li, Vanessa Yan, Dragomir R. Radev

CoRR, 2021

Heterogeneous Graph Neural Networks for Multi-label Text Classification.

Irene Li, Tianxiao Li, Yixin Li, Ruihai Dong, Toyotaro Suzumura

CoRR, 2021

Detecting Bias in Transfer Learning Approaches for Text Classification.

Irene Li

CoRR, 2021

Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting.

Irene Li, Prithviraj Sen, Huaiyu Zhu, Yunyao Li, Dragomir R. Radev

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders.

Irene Li, Vanessa Yan, Tianxiao Li, Rihao Qu, Dragomir R. Radev

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Global Data Science Project for COVID-19 Summary Report.

Dario Garcia-Gasulla, Sergio Álvarez-Napagao, Irene Li, Hiroshi Maruyama, Hiroki Kanezashi, Raquel Pérez-Arnal, Kunihiko Miyoshi, Euma Ishii, Keita Suzuki, Sayaka Shiba, Mariko Kurokawa, Yuta Kanzawa, Naomi Nakagawa, Masatoshi Hanai, Yixin Li, Tianxiao Li

CoRR, 2020

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

Irene Li, Yixin Li, Tianxiao Li, Sergio Álvarez-Napagao, Darío García

CoRR, 2020

What Are We Depressed About When We Talk About COVID-19: Mental Health Analysis on Tweets Using Natural Language Processing.

Irene Li, Yixin Li, Tianxiao Li, Sergio Álvarez-Napagao, Dario Garcia-Gasulla, Toyotaro Suzumura

Proceedings of the Artificial Intelligence XXXVII, 2020

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

Irene Li, Alexander R. Fabbri, Swapnil Hingmire, Dragomir R. Radev

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation.

Irene Li, Michihiro Yasunaga, Muhammed Yavuz Nuzumlali, Cesar Caraballo, Shiwani Mahajan, Harlan M. Krumholz, Dragomir R. Radev

CoRR, 2019

SParC: Cross-Domain Semantic Parsing in Context.

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 R. Radev

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

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

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

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

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

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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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

Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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

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

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

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

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

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Medical Text Classification using Convolutional Neural Networks.

Mark Hughes, Irene Li, Spyros Kotoulas, Toyotaro Suzumura

CoRR, 2017

2010

A Social Bookmarking-Based People Search Service Building Communities of Practice with Collective Intelligence.

Jeff J. S. Huang, Stephen J. H. Yang, Jeng Y. L. Chen, Irene Li, Indy Y. T. Hsiao

Int. J. Organ. Collect. Intell., 2010