| HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering Z Yang, P Qi, S Zhang, Y Bengio, WW Cohen, R Salakhutdinov, ... Empirical Methods in Natural Language Processing (EMNLP), 2018 | 1196 | 2018 |
| Stanza: A Python Natural Language Processing Toolkit for Many Human Languages P Qi, Y Zhang, Y Zhang, J Bolton, CD Manning Association of Computational Linguistics (ACL) System Demonstrations, 2020 | 1156 | 2020 |
| Graph Convolution over Pruned Dependency Trees Improves Relation Extraction Y Zhang, P Qi, CD Manning Empirical Methods in Natural Language Processing (EMNLP), 2018 | 748 | 2018 |
| Sharp nearby, fuzzy far away: How neural language models use context U Khandelwal, H He, P Qi, D Jurafsky Annual Meeting of the Association for Computational Linguistics (ACL), 2018 | 278 | 2018 |
| Universal Dependency Parsing from Scratch P Qi, T Dozat, Y Zhang, CD Manning Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw …, 2018 | 274 | 2018 |
| Stanford’s graph-based neural dependency parser at the conll 2017 shared task T Dozat, P Qi, CD Manning Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw …, 2017 | 239 | 2017 |
| Building DNN Acoustic Models for Large Vocabulary Speech Recognition AL Maas, P Qi, Z Xie, AY Hannun, CT Lengerich, D Jurafsky, AY Ng Computer Speech & Language, 2014 | 160 | 2014 |
| Answering Complex Open-domain Questions Through Iterative Query Generation P Qi, X Lin, L Mehr, Z Wang, CD Manning Empirical Methods in Natural Language Processing and International Joint …, 2019 | 101 | 2019 |
| Biomedical and clinical English model packages for the Stanza Python NLP library Y Zhang, Y Zhang, P Qi, CD Manning, CP Langlotz Journal of the American Medical Informatics Association 28 (9), 1892-1899, 2021 | 91 | 2021 |
| Do Syntax Trees Help Pre-trained Transformers Extract Information? DS Sachan, Y Zhang, P Qi, WL Hamilton European Chapter of the Association for Computational Linguistics (EACL), 2021 | 53 | 2021 |
| Trustworthy AI: From principles to practices B Li, P Qi, B Liu, S Di, J Liu, J Pei, J Yi, B Zhou ACM Computing Surveys 55 (9), 1-46, 2023 | 39 | 2023 |
| Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations A Paranjape, A See, K Kenealy, H Li, A Hardy, P Qi, KR Sadagopan, ... arXiv preprint arXiv:2008.12348, 2020 | 36 | 2020 |
| Selective attention based graph convolutional networks for aspect-level sentiment classification X Hou, J Huang, G Wang, P Qi, X He, B Zhou The Fifteenth Workshop on Graph-Based Methods for Natural Language …, 2021 | 35 | 2021 |
| Answering Open-Domain Questions of Varying Reasoning Steps from Text P Qi, H Lee, T Sido, CD Manning Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 30* | 2021 |
| Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations P Qi, Y Zhang, CD Manning arXiv preprint arXiv:2004.14530, 2020 | 30 | 2020 |
| Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification X Hou, P Qi, G Wang, R Ying, J Huang, X He, B Zhou arXiv preprint arXiv:2103.11794, 2021 | 27 | 2021 |
| Arc-swift: A Novel Transition System for Dependency Parsing P Qi, CD Manning Proceedings of the 55th annual meeting of the Association for Computational …, 2017 | 26 | 2017 |
| Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese. Y Zhang, AT Chaganty, A Paranjape, D Chen, J Bolton, P Qi, CD Manning TAC, 2016 | 18 | 2016 |
| TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. M Al-Badrashiny, J Bolton, AT Chaganty, K Clark, C Harman, L Huang, ... TAC, 2017 | 16 | 2017 |
| Modeling response properties of V2 neurons using a hierarchical K-means model X Hu, J Zhang, P Qi, B Zhang Neurocomputing 134, 198-205, 2014 | 10 | 2014 |
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityVerified email at stanford.edu
