Weijia Shi
Cited by
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Examining gender bias in languages with grammatical gender
P Zhou, W Shi, J Zhao, KH Huang, M Chen, R Cotterell, KW Chang
arXiv preprint arXiv:1909.02224, 2019
Embedding uncertain knowledge graphs
X Chen, M Chen, W Shi, Y Sun, C Zaniolo
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3363-3370, 2019
On tractable representations of binary neural networks
W Shi, A Shih, A Darwiche, A Choi
arXiv preprint arXiv:2004.02082, 2020
Compiling neural networks into tractable Boolean circuits
A Choi, W Shi, A Shih, A Darwiche
intelligence, 2017
Retrofitting contextualized word embeddings with paraphrases
W Shi, M Chen, P Zhou, KW Chang
arXiv preprint arXiv:1909.09700, 2019
Cross-lingual entity alignment with incidental supervision
M Chen, W Shi, B Zhou, D Roth
arXiv preprint arXiv:2005.00171, 2020
Karthikeyan K, Jamaal Hay, Michael Shur, Jennifer Sheffield, and Dan Roth. 2019b. University of Pennsylvania LoReHLT 2019 Submission
S Mayhew, T Tsygankova, F Marini, Z Wang, J Lee, X Yu, X Fu, W Shi, ...
Technical report, 0
Design Challenges in Low-resource Cross-lingual Entity Linking
X Fu, W Shi, X Yu, Z Zhao, D Roth
arXiv preprint arXiv:2005.00692, 2020
Learning Bilingual Word Embeddings Using Lexical Definitions
W Shi, M Chen, Y Tian, KW Chang
arXiv preprint arXiv:1906.08939, 2019
Analyzing and Mitigating Gender Bias in Languages with Grammatical Gender and Bilingual Word Embeddings
P Zhou, W Shi, J Zhao, KH Huang, M Chen, KW Chang
ACL: Montréal, QC, Canada, 2019
DESCGEN: A Distantly Supervised Datasetfor Generating Abstractive Entity Descriptions
W Shi, M Joshi, L Zettlemoyer
arXiv preprint arXiv:2106.05365, 2021
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