INSIGHT-1 at SemEval-2016 Task 5: Deep learning for multilingual aspect-based sentiment analysis

SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings

Volumn , Issue , 2016, Pages 330-336

  Ruder, Sebastian ^a,b   Ghaffari, Parsa ^b   Breslin, John G ^a  

^a NATIONAL UNIVERSITY OF IRELAND   (Ireland)

^b AYLIEN LTD   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONVOLUTION; CONVOLUTIONAL NEURAL NETWORKS; EXTRACTION; SEMANTICS; SENTIMENT ANALYSIS;

CONSTRAINED SYSTEMS; LEARNING-BASED APPROACH; MULTI LABEL CLASSIFICATION; PARAMETERIZED;

DEEP LEARNING;

EID: 85035777344     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/s16-1053     Document Type: Conference Paper

References (14)

1. Ronan Collobert, Jason Weston, Leon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011. Natural Language Processing (almost) from Scratch. Journal of Machine Learning Research, 12(Aug):2493-2537.
2. Yoon Kim. 2014. Convolutional Neural Networks for Sentence Classification. Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 1746-1751.
3. Bing Liu. 2012. Sentiment Analysis and Opinion Mining. Synthesis Lectures on Human Language Technologies, 5(1):1-167.
4. Vinod Nair and Geoffrey E Hinton. 2010. Rectified Linear Units Improve Restricted Boltzmann Machines. Proceedings of the 27th International Conference on Machine Learning, (3): 807-814.
5. Thien Hai Nguyen and Kiyoaki Shirai. 2015. PhraseRNN: Phrase Recursive Neural Network for Aspect-based Sentiment Analysis. (September): 2509-2514.
6. Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014. Glove: Global Vectors for Word Representation. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, pages 1532-1543.
7. Maria Pontiki, Dimitrios Galanis, John Pavlopoulos, Haris Papageorgiou, Ion Androutsopoulos, and Suresh Manandhar. 2014. SemEval-2014 Task 4: Aspect Based Sentiment Analysis. Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pages 27-35.
8. Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Suresh Manandhar, and Ion Androutsopoulos. 2015. SemEval-2015 Task 12: Aspect Based Sentiment Analysis. Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 486-495.
9. Maria Pontiki, Dimitrios Galanis, Haris Papageorgiou, Ion Androutsopoulos, Suresh Manandhar, Mohammad AL-Smadi, Mahmoud Al-Ayyoub, Yanyan Zhao, Bing Qin, Orphée De Clercq, Véronique Hoste, Marianna Apidianaki, Xavier Tannier, Natalia Loukachevitch, Evgeny Kotelnikov, Nuria Bel, Salud María Jiménez-Zafra, and Gülşen Eryiǧit. 2016. SemEval-2016 Task 5: Aspect-Based Sentiment Analysis. In Proceedings of the 10th International Workshop on Semantic Evaluation, San Diego, California. Association for Computational Linguistics.
10. Richard Socher, Danqi Chen, Christopher D. Manning, and Andrew Y. Ng. 2013. Reasoning With Neural Tensor Networks for Knowledge Base Completion. Proceedings of the Advances in Neural Information Processing Systems 26 (NIPS 2013), pages 1-10.
11. Duyu Tang, Furu Wei, Nan Yang, Ming Zhou, Ting Liu, and Bing Qin. 2014. Learning Sentiment-Specific Word Embedding. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 1:1555-1565.
12. Duyu Tang, Bing Qin, Xiaocheng Feng, and Ting Liu. 2015. Target-Dependent Sentiment Classification with Long Short Term Memory. arXiv preprint arXiv:1512.01100.
13. Matthew D. Zeiler. 2012. ADADELTA: An Adaptive Learning Rate Method. arXiv preprint arXiv:1212.5701.
14. Min-ling Zhang, Zhi-hua Zhou, and Senior Member. 2006. Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization. IEEE Transactions on Knowledge and Data Engineering, 18(10):1338-1351.