Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Tree-Based Convolutional Neural NetworksTBCNN for Constituency Trees in Natural Language Processing

Tree-Based Convolutional Neural Networks: TBCNN for Constituency Trees in Natural Language... [In this and the following chapters, we will apply the tree-based convolutional neural network (TBCNN) to the natural language processing. This chapter deals with constituency trees of natural language sentences, whereas the next chapter deals with dependency trees. In this chapter, we propose a constituency tree-based convolutional network (c-TBCNN). As usual, c-TBCNN can effectively extract structural information of constituency trees, which is aggregated in one or a few vectors for further information processing. c-TBCNN is applied in two sentence classification tasks: sentiment analysis and question classification. In both experiments, we achieve high performance similar to state-of-the-art models.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Tree-Based Convolutional Neural NetworksTBCNN for Constituency Trees in Natural Language Processing

Loading next page...
 
/lp/springer-journals/tree-based-convolutional-neural-networks-tbcnn-for-constituency-trees-paRWDfCoFA

References (19)

Publisher
Springer Singapore
Copyright
© The Author(s) 2018
ISBN
978-981-13-1869-6
Pages
59 –71
DOI
10.1007/978-981-13-1870-2_5
Publisher site
See Chapter on Publisher Site

Abstract

[In this and the following chapters, we will apply the tree-based convolutional neural network (TBCNN) to the natural language processing. This chapter deals with constituency trees of natural language sentences, whereas the next chapter deals with dependency trees. In this chapter, we propose a constituency tree-based convolutional network (c-TBCNN). As usual, c-TBCNN can effectively extract structural information of constituency trees, which is aggregated in one or a few vectors for further information processing. c-TBCNN is applied in two sentence classification tasks: sentiment analysis and question classification. In both experiments, we achieve high performance similar to state-of-the-art models.]

Published: Oct 2, 2018

Keywords: Tree-based convolution; Constituency parsing; Sentence modeling

There are no references for this article.