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Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Stacked Learning for Implicit Discourse Relation Recognition

Authors : Yang Xu, Huibin Ruan, Yu Hong

Published in: Information Retrieval

Publisher: Springer International Publishing

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Abstract

The existing discourse relation recognition systems have distinctive advantages, such as superior classification models, reliable feature selection, or holding rich training data. This shows the feasibility of making the systems collaborate with each other within a uniform framework. In this paper, we propose a stacked learning based collaborative approach. By the two-level learning, it facilitates the application of the confidence of different systems for the discourse relation determination. Experiments on PDTB show that our method yields promising improvement.

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Metadata
Title
Stacked Learning for Implicit Discourse Relation Recognition
Authors
Yang Xu
Huibin Ruan
Yu Hong
Copyright Year
2017
Book
Information Retrieval

Print ISBN: 978-3-319-68698-1

Electronic ISBN: 978-3-319-68699-8

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-68699-8_13