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Cited by
Year
Knowledge vault: A web-scale approach to probabilistic knowledge fusion
X Dong, E Gabrilovich, G Heitz, W Horn, N Lao, K Murphy, T Strohmann, ...
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
21352014
Never-ending learning
T Mitchell, W Cohen, E Hruschka, P Talukdar, B Yang, J Betteridge, ...
Communications of the ACM 61 (5), 103-115, 2018
12032018
Random walk inference and learning in a large scale knowledge base
N Lao, T Mitchell, W Cohen
Proceedings of the 2011 conference on empirical methods in natural language …, 2011
7852011
Relational retrieval using a combination of path-constrained random walks
N Lao, WW Cohen
Machine learning 81, 53-67, 2010
6892010
Neural symbolic machines: Learning semantic parsers on freebase with weak supervision
C Liang, J Berant, Q Le, KD Forbus, N Lao
ACL 2017, 2016
4272016
Automated known problem diagnosis with event traces
C Yuan, N Lao, JR Wen, J Li, Z Zhang, YM Wang, WY Ma
ACM SIGOPS Operating Systems Review 40 (4), 375-388, 2006
2332006
Memory augmented policy optimization for program synthesis and semantic parsing
C Liang, M Norouzi, J Berant, QV Le, N Lao
Advances in Neural Information Processing Systems 31, 2018
162*2018
Fast query execution for retrieval models based on path-constrained random walks
N Lao, WW Cohen
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
1112010
Reading the web with learned syntactic-semantic inference rules
N Lao, A Subramanya, F Pereira, W Cohen
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012
1002012
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells
G Mai, K Janowicz, B Yan, R Zhu, L Cai, N Lao
ICLR 2020, 2020
792020
Probabilistic model for contextual retrieval
JR Wen, N Lao, WY Ma
Proceedings of the 27th annual international ACM SIGIR conference on …, 2004
772004
Efficient inference and learning in a large knowledge base: Reasoning with extracted information using a locally groundable first-order probabilistic logic
WY Wang, K Mazaitis, N Lao, WW Cohen
Machine Learning 100, 101-126, 2015
682015
SE‐KGE: A location‐aware Knowledge Graph Embedding model for Geographic Question Answering and Spatial Semantic Lifting
G Mai, K Janowicz, L Cai, R Zhu, B Regalia, B Yan, M Shi, N Lao
Transactions in GIS 24 (3), 623-655, 2020
612020
A review of location encoding for GeoAI: methods and applications
G Mai, K Janowicz, Y Hu, S Gao, B Yan, R Zhu, L Cai, N Lao
International Journal of Geographical Information Science 36 (4), 639-673, 2022
562022
On the opportunities and challenges of foundation models for geospatial artificial intelligence
G Mai, W Huang, J Sun, S Song, D Mishra, N Liu, S Gao, T Liu, G Cong, ...
arXiv preprint arXiv:2304.06798, 2023
522023
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
J Zhu, N Lao, EP Xing
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
502010
Learning relational features with backward random walks
N Lao, E Minkov, W Cohen
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
442015
Rarr: Researching and revising what language models say, using language models
L Gao, Z Dai, P Pasupat, A Chen, AT Chaganty, Y Fan, V Zhao, N Lao, ...
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
412023
Why pcs are fragile and what we can do about it: A study of windows registry problems
A Ganapathi, YM Wang, N Lao, JR Wen
International Conference on Dependable Systems and Networks, 2004, 561-566, 2004
382004
Utility-based information distillation over temporally sequenced documents
Y Yang, A Lad, N Lao, A Harpale, B Kisiel, M Rogati
Proceedings of the 30th annual international ACM SIGIR conference on …, 2007
372007
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Articles 1–20