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题目:自然语言处理中的卷积神经网络
主讲:周池春
时间:2018年7月8日(星期日)下午14:15
地点:天津大学新校区32教学楼302室
提纲:
1.自然语言处理背景介绍;
2.自然语言处理的传统方法和基于神经网络网络的方法介绍;
3.卷积神经网络介绍以及dcnn具体python实现;
4.其他相关内容介绍与开放问题讨论
参考文献:
[1](ACL 2005) Seeing Stars: Exploiting Class Relationships For Sentiment Categorization With Respect To Rating Scales
https://www.cs.cornell.edu/people/pabo/movie-review-data/
[2](EMNLP 2013) Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
https://nlp.stanford.edu/sentiment/
[3](ACL 2004) A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts
http://www.cs.cornell.edu/people/pabo/movie-review-data
[4](ACL 2002) Learning Question Classifiers http://cogcomp.org/Data/QA/QC/ [5](SIGKDD 2004) Mining and Summarizing Customer Reviews
http://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html
[6](Language Resources and Evaluation 2005) Annotating Expressions Of Opinions And Emotions In Language http://mpqa.cs.pitt.edu/
[7]Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. Efficient Estimation of Word Representations in Vector Space. In Proceedings of Workshop at ICLR, 2013.
[8]Kalchbrenner N, Grefenstette E, Blunsom P. A convolutional neural network for modelling sentences[J]. arXiv preprint arXiv:1404.2188, 2014.
[9]Chen, Y., Xu, L., Liu, K., Zeng, D., Zhao, J.: Event extraction via dynamic multi-pooling convolutional neural networks. In: ACL, vol. 1, pp. 167–176 (2015)
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