| 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 | 317 | 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 | 189 | 2019 |
| Medical Text Classification Using Convolutional Neural Networks M Hughes, I Li, S Kotoulas, T Suzumura Informatics for Health, 2017 | 181 | 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 | 99 | 2019 |
| 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 | 33 | 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 | 29 | 2020 |
| 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 | 29 | 2018 |
| 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 | 25 | 2019 |
| R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning I Li, A Fabbri, S Hingmire, D Radev COLING 2020, 2020 | 9 | 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 | 8 | 2019 |
| Global data science project for covid-19 summary report D Garcia-Gasulla, SA Napagao, I Li, H Maruyama, H Kanezashi, ... | 5 | 2020 |
| Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders I Li, V Yan, T Li, R Qu, D Radev ACL 2021, 2021 | 3 | 2021 |
| 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 | 2 | 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 | 2 | 2021 |
| Detecting bias in transfer learning approaches for text classification I Li arXiv preprint arXiv:2102.02114, 2021 | 1 | 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 | 1 | 2021 |
| 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, D Radev arXiv preprint arXiv:2204.06604, 2022 | | 2022 |
| 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, ... LREC 2022, 2021 | | 2021 |
Dragomir RadevProfessor, Computer Science, Yale UniversityVerified email at yale.edu
