Learning Efficient Drawing Sequence Through Training of Recurrent Neural Network Model, Best Paper Award, The 12th International Conference on Natural Language Processing and Knowledge Engineering
Mar 2013
International Exchange Research Award, Tokushima University
Winner: Kang Xin
Nov 2011
Sampling Latent Emotions and Topics in a Hierarchical Bayesian Network, Best Paper Award, 7th International Conference on Natural Language Processing and Knowledge Engineering
Winner: Kang Xin
Jan 2005
Honorable Mention Award of Mathematical Contest in Modeling, Consortium for Mathematics and Its Applications
WSEAS TRANSACTIONS ON COMPUTERS 15 258-264 Dec 2016 [Refereed]
In this paper, we propose a approach based on distributional semantic model to the selectional preference in the verb & dobj (direct object) relationship. The distributional representations of words are employed as the semantic feature by using th...
KGO at the NTCIR-12 Temporalia Task: Exploring Temporal Information in Search Queries
Xin Kang, Yunong Wu, Fuji Ren
Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies 247-252 Jun 2016 [Refereed]
Developing a Japanese Adverb-Emotion Corpus to Investigate the Effect of Adverbs in Japanese Sentence Emotion Classification
Sun Yan, Fuji Ren, Xin Kang, Quan Changqin
International Journal of Advanced Intelligence (IJAI) 8(1) 99-116 May 2016 [Refereed]
2016 IEEE 13th International Conference on Networking, Sensing, and Control (ICNSC) 1-6 May 2016 [Refereed]
The research of inferring emotions in natural language is confronted with two major challenges: the lack of basic knowledge in emotion expressions and the co-occurrence of separate emotions through all language unites. In this paper, we propose a ...
Verb-object Selectional Preferences in Chinese Based on Distributional Semantic Model
Chao Li, Fuji Ren, Xin Kang
18th International Conference on Mathematical Methods, Computational Techniques and Intelligent Systems (MAMECTIS '16) 59-62 Jan 2016 [Refereed]
In this paper, we propose a approach based on distributional semantic model on selectional preference task in the verb & dobj (direct object) relationship. The distributional representations of words are employed as the semantic feature by using t...
Yan Sun, Quan Changqin, Xin Kang, Zuopeng Zhang, Fuji Ren
Information Technology and Management 16(4) 303-311 Dec 2015 [Refereed]
The growing interests of affective computing(AC) and its implementation in e-business demandresearchers to explore the applications of AC techniques indetecting customer emotions. Recent studies have shownthat language is powerful in conveying emo...
IEEE Journal of Biomedical and Health Informatics 20(5) 1384-1396 Jul 2015 [Refereed]
Suicide has been a major cause of death throughout the world. Recent studies have proved a reliable connection between the emotional traits and suicide. However, detection and prevention of suicide are mostly carried out in the clinical centers, w...
Computer Speech & Language 27(4) 943-968 Jun 2013 [Refereed]
Traditional emotion models, when tagging single emotions in documents, often ignore the fact that most documents convey complex human emotions. In this paper, we join emotion analysis with topic models to find complex emotions in documents, as wel...
Yunong Wu, Kenji Kita, Kazuyuki Matsumoto, Xin Kang
Computational Linguistics and Intelligent Text Processing (CICLING-2013) 7817 149-160 Mar 2013 [Refereed]
Predicting Complex Word Emotions and Topics through a Hierarchical Bayesian Network
Xin Kang, Fuji Ren
China Communications(1673-5447) 9(3) 99-109 Mar 2012 [Refereed]
In this paper, we provide a Word Emotion Topic (WET) model to predict the complex word e-motion information from text, and discover the dis-tribution of emotions among different topics. A complex emotion is defined as the combination of one or mor...
Yunong Wu, Kenji Kita, Fuji Ren, Kazuyuki Matsumoto, Xin Kang
International Journal of Intelligent Engineering and Systems(2185-310X)[2185-310X] 4(4) 19-26 Dec 2011 [Refereed]
In this study, we make a scheme to explore the importance of modification relation for the emotional keywords annotation and emotion types recognition. We extract three modification features which are degree words,negative words and conjunctions f...
Exploring Emotional Words for Chinese Document Chief Emotion Analysis
Yunong Wu, Kenji Kita, Fuji Ren, Kazuyuki Matsumoto, Xin Kang
The 25th Pacific Asia Conference on Language, Information, and Computation (PACLIC25) 597-606 Dec 2011 [Refereed]
