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Peng Qi
Peng Qi
Scientist, Amazon AWS AI
Verified email at amazon.com - Homepage
Title
Cited by
Cited by
Year
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
9022018
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
7912020
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
Y Zhang, P Qi, CD Manning
Empirical Methods in Natural Language Processing (EMNLP), 2018
6132018
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
2412018
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
2362018
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
2152017
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
1442014
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
842019
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
562021
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
372021
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
272020
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
252021
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
242017
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
212020
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
182016
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
16*2021
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction.
M Al-Badrashiny, J Bolton, AT Chaganty, K Clark, C Harman, L Huang, ...
TAC, 2017
142017
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
112021
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
92014
Trustworthy AI: From Principles to Practices
B Li, P Qi, B Liu, S Di, J Liu, J Pei, J Yi, B Zhou
arXiv preprint arXiv:2110.01167, 2021
62021
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