Obserwuj
Ming-Wei Chang
Tytuł
Cytowane przez
Cytowane przez
Rok
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
J Devlin, MW Chang, K Lee, K Toutanova
https://arxiv.org/abs/1810.04805, 2018
463982018
Load forecasting using support vector machines: A study on EUNITE competition 2001
BJ Chen, MW Chang, CJ Lin
Power Systems, IEEE Transactions on 19 (4), 1821-1830, 2004
10222004
Natural questions: a benchmark for question answering research
T Kwiatkowski, J Palomaki, O Redfield, M Collins, A Parikh, C Alberti, ...
Transactions of the Association for Computational Linguistics 7, 453-466, 2019
9452019
Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base
W Yih, MW Chang, X He, J Gao
ACL, 2015
6402015
REALM: Retrieval-Augmented Language Model Pre-Training
K Guu, K Lee, Z Tung, P Pasupat, MW Chang
499*2020
Latent retrieval for weakly supervised open domain question answering
K Lee, MW Chang, K Toutanova
arXiv preprint arXiv:1906.00300, 2019
4612019
A knowledge-grounded neural conversation model
M Ghazvininejad, C Brockett, MW Chang, B Dolan, J Gao, W Yih, ...
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
4562018
Well-read students learn better: On the importance of pre-training compact models
I Turc, MW Chang, K Lee, K Toutanova
arXiv preprint arXiv:1908.08962, 2019
381*2019
The value of semantic parse labeling for knowledge base question answering
W Yih, M Richardson, C Meek, MW Chang, J Suh
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
2672016
Question answering using enhanced lexical semantic models
SW Yih, MW Chang, C Meek, A Pastusiak
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
2582013
BoolQ: Exploring the surprising difficulty of natural yes/no questions
C Clark, K Lee, MW Chang, T Kwiatkowski, M Collins, K Toutanova
arXiv preprint arXiv:1905.10044, 2019
2562019
Driving semantic parsing from the world’s response
J Clarke, D Goldwasser, MW Chang, D Roth
Proceedings of the fourteenth conference on computational natural language …, 2010
2562010
Guiding semi-supervision with constraint-driven learning
MW Chang, L Ratinov, D Roth
Proceedings of the 45th annual meeting of the association of computational …, 2007
2432007
To link or not to link? a study on end-to-end tweet entity linking
S Guo, MW Chang, E Kiciman
Proceedings of the 2013 conference of the North American chapter of the …, 2013
2292013
Importance of Semantic Representation: Dataless Classification.
MW Chang, LA Ratinov, D Roth, V Srikumar
Aaai 2, 830-835, 2008
2122008
Search-based Neural Structured Learning for Sequential Question Answering
M Iyyer, W Yih, MW Chang
ACL, 2017
1612017
ERD'14: entity recognition and disambiguation challenge
D Carmel, MW Chang, E Gabrilovich, BJ Hsu, K Wang
Acm Sigir Forum 48 (2), 63-77, 2014
1502014
Leave-one-out bounds for support vector regression model selection
MW Chang, CJ Lin
Neural Computation 17 (5), 1188-1222, 2005
1452005
Structured learning with constrained conditional models
MW Chang, L Ratinov, D Roth
Machine learning 88 (3), 399-431, 2012
1402012
Zero-shot entity linking by reading entity descriptions
L Logeswaran, MW Chang, K Lee, K Toutanova, J Devlin, H Lee
arXiv preprint arXiv:1906.07348, 2019
1392019
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