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2018 | OriginalPaper | Chapter

Effective Semantic Relationship Classification of Context-Free Chinese Words with Simple Surface and Embedding Features

Authors : Yunxiao Zhou, Man Lan, Yuanbin Wu

Published in: Natural Language Processing and Chinese Computing

Publisher: Springer International Publishing

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Abstract

This paper describes the system we submitted to Task 1, i.e., Chinese Word Semantic Relation Classification, in NLPCC 2017. Given a pair of context-free Chinese words, this task is to predict the semantic relationships of them among four categories: Synonym, Antonym, Hyponym and Meronym. We design and investigate several surface features and embedding features containing word level and character level embeddings together with supervised machine learning methods to address this task. Officially released results show that our system ranks above average.

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previous chapter Hyper-Gated Recurrent Neural Networks for Chinese Word Segmentation

next chapter Classification of Chinese Word Semantic Relations

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Title: Effective Semantic Relationship Classification of Context-Free Chinese Words with Simple Surface and Embedding Features
Authors: Yunxiao Zhou
Man Lan
Yuanbin Wu
Publisher: Springer International Publishing
Book: Natural Language Processing and Chinese Computing
Print ISBN: 978-3-319-73617-4

Electronic ISBN: 978-3-319-73618-1

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-73618-1_38

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