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Variational Attention for Commonsense Knowledge Aware Conversation Generation Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Constructing Chinese Macro Discourse Tree via Multiple Views and Word Pair Similarity

Authors : Yi Zhou, Xiaomin Chu, Peifeng Li, Qiaoming Zhu

Published in: Natural Language Processing and Chinese Computing

Publisher: Springer International Publishing

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Abstract

Macro-discourse structure recognition is an important task in macro-discourse analysis. At present, the research on macro-discourse analysis mostly uses the manual features (e.g., the position features), and ignores the semantic information in topic level. In this paper, we first propose a multi-view neural network to construct Chinese macro discourse trees from three views, i.e., the word view, the context view and the topic view. Besides, we propose a novel word-pair similarity mechanism to capture the interaction among the discourse units and the topic. The experimental results on MCDTB, a Chinese discourse corpus, show that our model outperforms the baseline significantly.

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previous chapter A Word Segmentation Method of Ancient Chinese Based on Word Alignment
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Appendix
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Metadata
Title
Constructing Chinese Macro Discourse Tree via Multiple Views and Word Pair Similarity
Authors
Yi Zhou
Xiaomin Chu
Peifeng Li
Qiaoming Zhu
Copyright Year
2019
Book
Natural Language Processing and Chinese Computing

Print ISBN: 978-3-030-32232-8

Electronic ISBN: 978-3-030-32233-5

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-32233-5_60

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