Yanyan  

 

Yanyan Zhao(赵妍妍)

Ph.D., Associate Professor

Sentiment Computing Group
Research Center for Social Computing and Information Retrieval
Harbin Institute of Technology


Contact Information


Research Interests


Teaching


Education


Experiences


Academic Activities


Awards


Selected Publications

  1. Jianhua Yuan, Yanyan Zhao, Jingfang Xu, Bing Qin. Exploring Answer Stance Detection with Recurrent Conditional Attention. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI2019). 2019. CCF A类
  2. Dawei Cong, Yanyan Zhao, Bing Qin, Yu Han, Murray Zhang, Alden Liu, and Nat Chen. 2019. Hierarchical Attention based Neural Network for Explainable Recommendation. In International Conference on Multimedia Retrieval (ICMR2019). 2019. CCF B类
  3. Yanyan Zhao, Bing Qin and Ting Liu. Encoding Syntactic Representation with Neural Network for Sentiment Collocation Extraction. SCIENCE CHINA Information Sciences. 2019. SCI
  4. Dawei Cong, Jianhua Yuan, Yanyan Zhao, et al. A Joint Model for Sentiment Classification and Opinion Words Extraction[M]//Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data. Springer, Cham, 2018: 337-347.
  5. Ming Liu, Yanyan Zhao, Bing Qin, Ting Liu. Collective entity linking: a random walk-based perspective. Knowledge and Information Systems, https://doi.org/10.1007/s10115-018-1273-z. 2018. SCI
  6. Yanyan Zhao, Bing Qin, and Ting Liu. Exploiting Syntactic and Semantic Kernels for Target-Polarity Word Collocation Extraction. ACII Asia. 2018.
  7. Lazib, L, Qin, B, Zhao, Y, Zhang, W, Liu, T. A Syntactic Path-Based Hybrid Neural Network for Negation Scope Detection.[J] Frontiers of Computer Science. 2018. SCI
  8. Lazib, L, Zhao, Y, Qin, B, Liu, T. Negation Scope Detection with a Conditional Random Field Model[J]. High Technology Letters. June 2017, Vol.23:2, pp 191-197.
  9. Lazib, L, Zhao, Y, Qin, B, Liu, T. Negation Scope Detection with Recurrent Neural Networks Models in Review Texts.[C] In International Conference of Young Computer Scientists, Engineers and Educators 2016 Aug 20 : 494-508. Springer, Singapore.
  10. Yiheng Chen, Yanyan Zhao, Bing Qin and Ting Liu. Product Aspect Clustering by Incorporating Background Knowledge for Opinion Mining. PLoS ONE. 2016;11(8):e0159901.SCI
  11. Yanyan Zhao, Bing Qin, Ting Liu and Wei Yang. Aspect-Object Alignment with Integer Linear Programming in Opinion Mining. PLOS ONE. 2015, 5. SCI
  12. Wanxiang Che, Yanyan Zhao, Honglei Guo, Zhong Su and Ting Liu. Sentence Compression for Aspect-Based Sentiment Analysis. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2015, 6. SCI
  13. Yanyan Zhao, Bing Qin and Ting Liu.Creating a Fine-Grained Corpus for Chinese Sentiment Analysis. IEEE Intelligent Systems. 2015,30(1):36-43.SCI
  14. Yanyan Zhao, Bing Qin, Ting Liu and Duyu Tang. Social Sentiment Sensor: a Visualization System for Topic Detection and Topic Sentiment Analysis on Microblog. Multimedia Tools and Applications. 2014.8. SCI
  15. Yanyan Zhao, Wanxiang Che et al. Sentence Compression for Target-Polarity Word Collocation Extraction. International Conference on Computational Linguistics (Coling). 2014.8. 1360-1369. CCF B类
  16. Yanyan Zhao, Bing Qin and Ting Liu. What Causes Different Emotion Distributions of a Hot Event? A Deep Event-Emotion Analysis System on Microblogs. CCF Conference on NLP&CC.2015.10. 453-464.
  17. Yanyan Zhao, Shengqiu Li, Bing Qin and Ting Liu. Encoding Dependency Representation with Convolutional Neural Network for Target-PolarityWord Collocation Extraction. SMP. 2016 pp 42-53.
  18. Yanyan Zhao, Bing Qin and Ting Liu. Clustering Product Aspects Using Two Effective Aspect Relations for Opinion Mining. Chinese Computational Linguistics. 2014.10. 120-130.
  19. Yanyan Zhao, Bing Qin and Ting Liu. Aspect-Object Alignment Using Integer Linear Programming. CCF Conference on NLP&CC.2014.11. 193-204.
  20. Yanyan Zhao, Bing Qin and Ting Liu. Collocation Polarity Disambiguation Using Web-based Pseudo Contexts. Conference on Empirical Methods in Natural Language Processing. 2012.8. 160-170. CCF B类

 

 

Last updated: 2020-01-01