Qu Lizhen
Qu Lizhen
Verified email at nicta.com.au - Homepage
TitleCited byYear
Making deep neural networks robust to label noise: A loss correction approach
G Patrini, A Rozza, A Krishna Menon, R Nock, L Qu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
The bag-of-opinions method for review rating prediction from sparse text patterns
L Qu, G Ifrim, G Weikum
Proceedings of the 23rd international conference on computational …, 2010
Timely yago: harvesting, querying, and visualizing temporal knowledge from wikipedia
Y Wang, M Zhu, L Qu, M Spaniol, G Weikum
Proceedings of the 13th International Conference on Extending Database …, 2010
Stranse: a novel embedding model of entities and relationships in knowledge bases
DQ Nguyen, K Sirts, L Qu, M Johnson
arXiv preprint arXiv:1606.08140, 2016
Harvesting facts from textual web sources by constrained label propagation
Y Wang, B Yang, L Qu, M Spaniol, G Weikum
Proceedings of the 20th ACM international conference on Information and …, 2011
A weakly supervised model for sentence-level semantic orientation analysis with multiple experts
L Qu, R Gemulla, G Weikum
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012
Neighborhood mixture model for knowledge base completion
DQ Nguyen, K Sirts, L Qu, M Johnson
arXiv preprint arXiv:1606.06461, 2016
Big data small data, in domain out-of domain, known word unknown word: The impact of word representation on sequence labelling tasks
L Qu, G Ferraro, L Zhou, W Hou, N Schneider, T Baldwin
arXiv preprint arXiv:1504.05319, 2015
Named entity recognition for novel types by transfer learning
L Qu, G Ferraro, L Zhou, W Hou, T Baldwin
arXiv preprint arXiv:1610.09914, 2016
Chord2vec: Learning musical chord embeddings
S Madjiheurem, L Qu, C Walder
Proceedings of the constructive machine learning workshop at 30th conference …, 2016
Automatic generation of grounded visual questions
S Zhang, L Qu, S You, Z Yang, J Zhang
arXiv preprint arXiv:1612.06530, 2016
Sentence Level Subjectivity and Sentiment Analysis Experiments in NTCIR-7 MOAT Challenge.
L Qu, C Toprak, N Jakob, I Gurevych
NTCIR, 2008
Using tag semantic network for keyphrase extraction in blogs
L Qu, C Müller, I Gurevych
Proceedings of the 17th ACM conference on Information and knowledge …, 2008
Demographic inference on twitter using recursive neural networks
S Mac Kim, Q Xu, L Qu, S Wan, C Paris
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
D-page: Diverse paraphrase generation
Q Xu, J Zhang, L Qu, L Xie, R Nock
arXiv preprint arXiv:1808.04364, 2018
Collective vertex classification using recursive neural network
Q Xu, Q Wang, C Xu, L Qu
arXiv preprint arXiv:1701.06751, 2017
Unsupervised pre-training with Seq2Seq reconstruction loss for deep relation extraction models
Z Li, L Qu, Q Xu, M Johnson
Proceedings of the Australasian Language Technology Association Workshop …, 2016
Attentive graph-based recursive neural network for collective vertex classification
Q Xu, Q Wang, C Xu, L Qu
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
f-GANs in an information geometric nutshell
R Nock, Z Cranko, AK Menon, L Qu, RC Williamson
Advances in Neural Information Processing Systems, 456-464, 2017
Senti-LSSVM: Sentiment-Oriented Multi-Relation Extraction with Latent Structural SVM
L Qu, Y Zhang, R Wang, L Jiang, R Gemulla, G Weikum
Transactions of the Association for Computational Linguistics 2, 155-168, 2014
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