| Deep Keyphrase Generation R Meng, S Zhao, S Han, D He, P Brusilovsky, Y Chi ACL 2017 1, 582, 2017 | 349 | 2017 |
| Integrating Transformer and Paraphrase Rules for Sentence Simplification S Zhao, R Meng, D He, S Andi, P Bambang EMNLP 2018, 2018 | 127 | 2018 |
| One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases X Yuan, T Wang, R Meng, K Thaker, P Brusilovsky, D He, A Trischler ACL 2020, 2018 | 85* | 2018 |
| A Deep Scientific Literature Mining-Oriented Framework for Citation Content Annotation W Lu, R Meng, X Liu Journal of Library Science in China 40 (6), 93-104, 2014 | 49* | 2014 |
| An Empirical Study on Neural Keyphrase Generation R Meng, X Yuan, T Wang, S Zhao, A Trischler, D He NAACL 2021, 2020 | 25 | 2020 |
| Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents R Meng, K Thaker, L Zhang, Y Dong, X Yuan, T Wang, D He ACL 2021, 2021 | 18 | 2021 |
| Does Order Matter? An Empirical Study on Generating Multiple Keyphrases as a Sequence R Meng, X Yuan, T Wang, P Brusilovsky, A Trischler, D He arXiv preprint arXiv:1909.03590, 2019 | 17 | 2019 |
| Knowledge-based Content Linking for Online Textbooks R Meng, S Han, Y Huang, D He, P Brusilovsky Web Intelligence (WI), 2016 IEEE/WIC/ACM International Conference on, 18-25, 2016 | 16 | 2016 |
| Unsupervised deep keyphrase generation X Shen, Y Wang, R Meng, J Shang Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11303 …, 2022 | 13 | 2022 |
| Exploring Knowledge Learning in Collaborative Information Seeking Process. Y Chi, S Han, D He, R Meng SAL@ SIGIR, 2016 | 13 | 2016 |
| Automatic classification of citation function by new linguistic features R Meng, W Lu, Y Chi, S Han IConference 2017 Proceedings, 826-830, 2017 | 12 | 2017 |
| Towards an integrated clickstream data analysis framework for understanding web users' information behavior Y Chi, T Jiang, D He, R Meng iConference 2017 Proceedings, 2017 | 5 | 2017 |
| Retrieval-augmented multilingual keyphrase generation with retriever-generator iterative training Y Gao, Q Yin, Z Li, R Meng, T Zhao, B Yin, I King, MR Lyu arXiv preprint arXiv:2205.10471, 2022 | 4 | 2022 |
| Automatic icd code assignment to medical text with semantic relational tuples S Zhao, D He, D Zhang, L Li, R Meng iConference 2017 Proceedings Vol. 2, 2017 | 4 | 2017 |
| Learning semantic representation from restaurant reviews: A study of Yelp dataset S Zhao, S Han, R Meng, D He, D Zhang iConference 2017 Proceedings Vol. 2, 2017 | 4 | 2017 |
| Research Review on Citation Recommendation of Academic Literatures H Chen, R Meng, W Lu Library and Information Service 59 (15), 133-143,147, 2015 | 4* | 2015 |
| Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation R Meng, Y Liu, S Yavuz, D Agarwal, L Tu, N Yu, J Zhang, M Bhat, Y Zhou arXiv preprint arXiv:2212.08841, 2022 | 2 | 2022 |
| Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database Y Liu, S Yavuz, R Meng, D Radev, C Xiong, Y Zhou arXiv preprint arXiv:2211.05165, 2022 | 2 | 2022 |
| From Fundamentals to Recent Advances: A Tutorial on Keyphrasification R Meng, D Mahata, F Boudin Advances in Information Retrieval: 44th European Conference on IR Research …, 2022 | 2 | 2022 |
| Knowledge-based Content Linking for Online Textbooks M Rui, H Shuguang, H Yun, H Daqing, B Peter 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 18-25, 2016 | 2 | 2016 |
He DaqingProfessor, School of Computing and Information, University of PittsburghVerified email at pitt.edu
