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Xiaodan Zhu
Xiaodan Zhu
ECE & Ingenuity Labs Research Institute, Queen's University, Canada
Bestätigte E-Mail-Adresse bei queensu.ca - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Enhanced LSTM for natural language inference
Q Chen, X Zhu, Z Ling, S Wei, H Jiang, D Inkpen
ACL, 2017
14902017
NRC-Canada: Building the state-of-the-art in sentiment analysis of tweets
S Mohammad, S Kiritchenko, X Zhu
SEMEVAL, 2013
13772013
Sentiment analysis of short informal texts
S Kiritchenko, X Zhu, SM Mohammad
Journal of Artificial Intelligence Research 50, 723-762, 2014
11552014
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
10962016
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
8882014
Long short-term memory over recursive structures
X Zhu, P Sobihani, H Guo
International conference on machine learning, 1604-1612, 2015
4612015
Sentiment, emotion, purpose, and style in electoral tweets
SM Mohammad, X Zhu, S Kiritchenko, J Martin
Information Processing & Management 51 (4), 480-499, 2015
3172015
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
3072015
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
2962011
Neural natural language inference models enhanced with external knowledge
Q Chen, X Zhu, ZH Ling, D Inkpen, S Wei
arXiv preprint arXiv:1711.04289, 2017
2912017
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
2432019
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
1772017
Speaker-aware bert for multi-turn response selection in retrieval-based chatbots
JC Gu, T Li, Q Liu, ZH Ling, Z Su, S Wei, X Zhu
Proceedings of the 29th ACM International Conference on Information …, 2020
1642020
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
1642014
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
1572016
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
1402016
Analysis of polarity information in medical text
Y Niu, X Zhu, J Li, G Hirst
AMIA annual symposium proceedings 2005, 570, 2005
1292005
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, 35-65, 2016
1242016
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
1212016
Improving Image Captioning with Better Use of Captions
Z Shi, X Zhou, X Qiu, X Zhu
ACL, 2020
1202020
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