Peng Qi
Peng Qi
Research Scientist, JD AI
Verified email at jd.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
3632018
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
Y Zhang, P Qi, CD Manning
Empirical Methods in Natural Language Processing (EMNLP), 2018
2782018
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
1592017
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
1522018
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
1332018
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
1242020
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
95*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
392019
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
202017
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
142016
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction.
M Al-Badrashiny, J Bolton, AT Chaganty, K Clark, C Harman, L Huang, ...
TAC, 2017
132017
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
62014
Hierarchical k-means algorithm for modeling visual area v2 neurons
X Hu, P Qi, B Zhang
International Conference on Neural Information Processing, 373-381, 2012
62012
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
52020
Biomedical and Clinical English Model Packages in the Stanza Python NLP Library
Y Zhang, Y Zhang, P Qi, CD Manning, CP Langlotz
arXiv preprint arXiv:2007.14640, 2020
42020
Retrieve, Rerank, Read, then Iterate: Answering Open-Domain Questions of Arbitrary Complexity from Text
P Qi, H Lee, O Sido, CD Manning
arXiv preprint arXiv:2010.12527, 2020
32020
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
32020
Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph
A Chaganty, A Paranjape, J Bolton, M Lamm, J Lei, A See, K Clark, ...
Proceedings of TAC, 2017
32017
Neural text summarization
U Khandelwal, P Qi, D Jurafsky
Stanford University, Stanford, CA, USA, 2016
32016
Learning nonlinear statistical regularities in natural images by modeling the outer product of image intensities
P Qi, X Hu
Neural computation 26 (4), 693-711, 2014
32014
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Articles 1–20