Top

Published in:

2018 | OriginalPaper | Chapter

Hierarchical Convolution Neural Network for Emotion Cause Detection on Microblogs

Authors : Ying Chen, Wenjun Hou, Xiyao Cheng

Published in: Artificial Neural Networks and Machine Learning – ICANN 2018

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

Emotion cause detection which recognizes the cause of an emotion in microblogs is a challenging research issue in Natural Language Processing field. In this paper, we propose a hierarchical Convolution Neural Network (Hier-CNN) for emotion cause detection. Our Hier-CNN model deals with the feature sparse problem through a clause-level encoder, and handles the less event-based information problem by a subtweet-level encoder. In the clause-level encoder, the representation of a word is augmented with its context. In the subtweet-level encoder, the event-based features are extracted in term of microblogs. Experimental results show that our model outperforms several strong baselines and achieves the state-of-the-art performance.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

previous chapter DTI-RCNN: New Efficient Hybrid Neural Network Model to Predict Drug–Target Interactions

next chapter Direct Training of Dynamic Observation Noise with UMarineNet

Chen, Y., Lee, S., Li, S., Huang, C.: Emotion cause detection with linguistic constructions. In: Proceedings of COLING (2010)

Cheng, X., Chen, Y., Cheng, B., Li, S., Zhou, G.: An emotion cause corpus for Chinese microblogs with multiple-user structures. ACM Trans. Asian Low-Resour. Lang. Inf. Process. TALLIP 17(1), 6 (2017)

Dauphin, Y.N., Fan, A., Auli, M., Grangier, D.: Language modeling with gated convolutional networks. In: Proceedings of ICML (2017)

Gao, K., Xu, H., Wang, J.: A rule-based approach to emotion cause detection for Chinese micro-blogs. Expert Syst. Appl. 42(2015), 4517–4528 (2015)CrossRef

Ghazi, D., Inkpen, D., Szpakowicz, S.: Detecting emotion stimuli in emotion-bearing sentences. In: Gelbukh, A. (ed.) CICLing 2015. LNCS, vol. 9042, pp. 152–165. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-18117-2_12CrossRef

Glorot, X., Bengio, Y.: Understanding the difficulty of training deep feedforward neural networks. In: Proceedings of AISTATS (2010)

Glorot, X., Bordes, A., Bengio, Y.: Deep sparse rectifier neural networks. In: Proceedings of AISTATS (2011)

Gui, L., Yuan, L., Xu, R., Liu, B., Lu, Q., Zhou, Y.: Emotion cause detection with linguistic construction in Chinese weibo text. In: Zong, C., Nie, J.Y., Zhao, D., Feng, Y. (eds.) Natural Language Processing and Chinese Computing. CCIS, vol. 496, pp. 457–464. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-662-45924-9_42CrossRef

Gui, L., Wu, D., Xu, R., Lu, Q., Zhou, Y.: Event-driven emotion cause extraction with corpus construction. In: Proceedings of EMNLP (2016)

Gui, L., Hu, J., He, Y., Xu, R., Lu, Q., Du, J.: A question answering approach to emotion cause extraction. In: Proceedings of EMNLP (2017)

Kim, Y.: Convolutional neural networks for sentence classification. In: Proceedings of EMNLP (2014)

Kingma, D., Ba, J.: Adam: a method for stochastic optimization. In: Proceedings of ICLR (2015)

Lee, S.Y.M., Chen, Y., Huang, C.-R.: A text-driven rule-based system for emotion cause detection. In: Proceedings of NAACL (2010)

Ma, F., ChittŠa, R., Zhou, J.: Dipole: diagnosis prediction in healthcare via attention-based bidirectional recurrent neural networks. In: Proceedings of KDD (2017)

Xu, R., Hu, J., Lu, Q., Wu, D., Gui, L.: An ensemble approach for emotion cause detection with event extraction and multi-kernel SVMs. Tsinghua Sci. Technol. 22(6), 646–659 (2017)CrossRef

Title: Hierarchical Convolution Neural Network for Emotion Cause Detection on Microblogs
Authors: Ying Chen
Wenjun Hou
Xiyao Cheng
Publisher: Springer International Publishing
Book: Artificial Neural Networks and Machine Learning – ICANN 2018
Print ISBN: 978-3-030-01417-9

Electronic ISBN: 978-3-030-01418-6

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-030-01418-6_12

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner