Irene Li
Orcid: 0000-0002-1851-5390
According to our database1,
Irene Li
authored at least 44 papers
between 2010 and 2024.
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Bibliography
2024
Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education.
CoRR, 2024
Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education.
CoRR, 2024
EARL: Workshop on Evaluating and Applying Recommendation Systems with Large Language Models.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques.
Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
RecPrompt: A Prompt Tuning Framework for News Recommendation Using Large Language Models.
CoRR, 2023
CoRR, 2023
Integrating UMLS Knowledge into Large Language Models for Medical Question Answering.
CoRR, 2023
Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts.
CoRR, 2023
CoRR, 2023
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
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.
Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023
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.
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.
Comput. Sci. Rev., 2022
EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts.
CoRR, 2022
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation.
CoRR, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
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.
CoRR, 2021
Efficient Variational Graph Autoencoders for Unsupervised Cross-domain Prerequisite Chains.
CoRR, 2021
Proceedings of the 6th Workshop on Representation Learning for NLP, 2021
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
What are We Depressed about When We Talk about COVID19: Mental Health Analysis on Tweets Using Natural Language Processing.
CoRR, 2020
What Are We Depressed About When We Talk About COVID-19: Mental Health Analysis on Tweets Using Natural Language Processing.
Proceedings of the Artificial Intelligence XXXVII, 2020
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
2019
CoRR, 2019
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.
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.
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.
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.
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.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2017
2010
A Social Bookmarking-Based People Search Service Building Communities of Practice with Collective Intelligence.
Int. J. Organ. Collect. Intell., 2010