Effective LSTMs for target-dependent sentiment classification

COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers

Volumn , Issue , 2016, Pages 3298-3307

  Tang, Duyu ^a   Qin, Bing ^a   Feng, Xiaocheng ^a   Liu, Ting ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; LONG SHORT-TERM MEMORY; SEMANTICS; SYNTACTICS;

BENCHMARK DATASETS; CLASSIFICATION ACCURACY; SENTIMENT CLASSIFICATION; SENTIMENT LEXICONS; STATE-OF-THE-ART PERFORMANCE; SYNTACTIC PARSERS; TARGET INFORMATION; TARGET WORDS;

CLASSIFICATION (OF INFORMATION);

EID: 85055002395     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (30)

1. Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015. Neural machine translation by jointly learning to align and translate. ICLR.
2. Yoshua Bengio, Patrice Simard, and Paolo Frasconi. 1994. Fearning long-term dependencies with gradient descent is difficult. Neural Networks, IEEE Transactions on, 5(2): 157-166.
3. Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Janvin. 2003. A neural probabilistic language model. Journal of Machine Learning Research, 3: 1137-1155.
4. Parminder Bhatia, Yangfeng Ji, and Jacob Eisenstein. 2015. Better document-level sentiment analysis from rst discourse parsing. In EMNLP, pages 2212-2218.
5. Fi Dong, Furu Wei, Chuanqi Fan, Duyu Fang, Ming Zhou, and Ke Xu. 2014. Adaptive recursive neural network for target-dependent twitter sentiment classification. In ACL, pages 49-54.
6. Gottlob Frege. 1892. On sense and reference. Ludlow (1997), pages 563-584.
7. Sepp Hochreiter and Jürgen Schmidhuber. 1997. Fong short-term memory. Neural computation, 9(8): 1735-1780.
8. Ozan Irsoy and Claire Cardie. 2014. Deep recursive neural networks for compositionality in language. In NIPS, pages 2096-2104.
9. Fong Jiang, Mo Yu, Ming Zhou, Xiaohua Fiu, and Fiejun Zhao. 2011. Farget-dependent twitter sentiment classification. ACL, 1: 151-160.
10. Dan Jurafsky and James H Martin. 2000. Speech & language processing. Pearson Education India.
11. Nal Kalchbrenner, Edward Grefenstette, and Phil Blunsom. 2014. A convolutional neural network for modelling sentences. In ACL, pages 655-665.
12. Yoon Kim. 2014. Convolutional neural networks for sentence classification. In EMNLP, pages 1746-1751.
13. Quoc V. Fe and Fomas Mikolov. 2014. Distributed representations of sentences and documents. In ICML, pages 1188-1196.
14. Jiwei Fi, Dan Jurafsky, and Eudard Hovy. 2015a. When are tree structures necessary for deep learning of representations? EMNLP.
15. Jiwei Fi, Minh-Fhang Fuong, and Dan Jurafsky. 2015b. A hierarchical neural autoencoder for paragraphs and documents. ACL.
16. Bing Fiu. 2012. Sentiment analysis and opinion mining. Synthesis Lectures on Human Language Technologies, 5(1): 1-167.
17. Christopher D Manning and Hinrich Schütze. 1999. Foundations of statistical natural language processing. MIF press.
18. Fomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In NIPS, pages 3111-3119.
19. Bo Pang and Fillian Fee. 2008. Opinion mining and sentiment analysis. Foundations and trends in information retrieval, 2(1-2): 1-135.
20. Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. 2002. Thumbs up?: sentiment classification using machine learning techniques. In EMNLP, pages 79-86.
21. Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014. Glove: Global vectors for word representation. In EMNLP, pages 1532-1543.
22. Richard Socher, Danqi Chen, Christopher D Manning, and Andrew Y Ng. 2013a. Reasoning with neural tensor networks for knowledge base completion. NIPS.
23. Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Ng, and Christopher Potts. 2013b. Recursive deep models for semantic compositionality over a sentiment treebank. In EMNLP, pages 1631-1642.
24. Yarning Sun, Lei Lin, Duyu Tang, Nan Yang, Zhenzhou Ji, and Xiaolong Wang. 2015. Modeling mention, context and entity with neural networks for entity disambiguation. IJCAI.
25. Kai Sheng Tai, Richard Socher, and Christopher D Manning. 2015. Improved semantic representations from tree-structured long short-term memory networks. In ACL.
26. Duyu Tang, Furu Wei, Nan Yang, Ming Zhou, Ting Liu, and Bing Qin. 2014. Learning sentiment-specific word embedding for twitter sentiment classification. In ACL, pages 1555-1565.
27. Duyu Tang, Bing Qin, and Ting Liu. 2015. Document modeling with gated recurrent neural network for sentiment classification. EMNLP, pages 1422-1432.
28. Duy-Tin Vo and Yue Zhang. 2015. Target-dependent twitter sentiment classification with rich automatic features. IJCAI.
29. Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, and Eduard Hovy. 2016. Hierarchical attention networks for document classification. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
30. Xiaodan Zhu, Parinaz Sobhani, and Hongyu Guo. 2015. Long short-term memory over tree structures. ICML.