Seuraa
Xiaodan Zhu
Xiaodan Zhu
ECE & Ingenuity Labs Research Institute, Queen's University, Canada
Vahvistettu sähköpostiosoite verkkotunnuksessa queensu.ca - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
NRC-Canada: Building the state-of-the-art in sentiment analysis of tweets
SM Mohammad, S Kiritchenko, X Zhu
SEMEVAL, 2013
11602013
Enhanced LSTM for natural language inference
Q Chen, X Zhu, Z Ling, S Wei, H Jiang, D Inkpen
arXiv preprint arXiv:1609.06038, 2016
9532016
Sentiment analysis of short informal texts
S Kiritchenko, X Zhu, SM Mohammad
Journal of Artificial Intelligence Research 50, 723-762, 2014
9042014
Semeval-2016 task 6: Detecting stance in tweets
S Mohammad, S Kiritchenko, P Sobhani, X Zhu, C Cherry
Proceedings of the 10th international workshop on semantic evaluation …, 2016
5962016
Nrc-canada-2014: Detecting aspects and sentiment in customer reviews
S Kiritchenko, X Zhu, C Cherry, S Mohammad
Proceedings of the 8th international workshop on semantic evaluation …, 2014
5822014
Long short-term memory over recursive structures
X Zhu, P Sobihani, H Guo
International Conference on Machine Learning, 1604-1612, 2015
387*2015
Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010
B De Bruijn, C Cherry, S Kiritchenko, J Martin, X Zhu
Journal of the American Medical Informatics Association 18 (5), 557-562, 2011
2612011
Sentiment, emotion, purpose, and style in electoral tweets
SM Mohammad, X Zhu, S Kiritchenko, J Martin
Information Processing & Management 51 (4), 480-499, 2015
2262015
Neural natural language inference models enhanced with external knowledge
Q Chen, X Zhu, ZH Ling, D Inkpen, S Wei
ACL, 2018
225*2018
Measuring academic influence: Not all citations are equal
X Zhu, P Turney, D Lemire, A Vellino
Journal of the Association for Information Science and Technology 66 (2 …, 2015
2102015
Distraction-based neural networks for document summarization
Q Chen, X Zhu, Z Ling, S Wei, H Jiang
IJCAI, 2016
147*2016
Nrc-canada-2014: Recent improvements in the sentiment analysis of tweets
X Zhu, S Kiritchenko, S Mohammad
Proceedings of the 8th international workshop on semantic evaluation …, 2014
1462014
Analysis of polarity information in medical text
Y Niu, X Zhu, J Li, G Hirst
AMIA annual symposium proceedings 2005, 570, 2005
1052005
Induction networks for few-shot text classification
R Geng, B Li, Y Li, X Zhu, P Jian, J Sun
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2019
992019
Recurrent neural network-based sentence encoder with gated attention for natural language inference
Q Chen, X Zhu, ZH Ling, S Wei, H Jiang, D Inkpen
EMNLP: REPEVAL 2017 Workshop, 2017
962017
Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts
P Nakov, S Rosenthal, S Kiritchenko, SM Mohammad, Z Kozareva, ...
Language Resources and Evaluation 50 (1), 35-65, 2016
962016
Enhancing and combining sequential and tree lstm for natural language inference
Q Chen, X Zhu, Z Ling, S Wei, H Jiang
arXiv preprint arXiv:1609.06038, 2016
932016
A dataset for detecting stance in tweets
S Mohammad, S Kiritchenko, P Sobhani, X Zhu, C Cherry
Proceedings of the Tenth International Conference on Language Resources and …, 2016
932016
A dataset for multi-target stance detection
P Sobhani, D Inkpen, X Zhu
Proceedings of the 15th Conference of the European Chapter of the …, 2017
832017
Probabilistic reasoning via deep learning: Neural association models
Q Liu, H Jiang, A Evdokimov, ZH Ling, X Zhu, S Wei, Y Hu
IJCAI 2016 Workshop on Deep Learning for Artificial Intelligence (DLAI)., 2016
822016
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