Effective semantic relationship classification of context-free Chinese words with simple surface and embedding features

Yunxiao Zhou; Man Lan; Yuanbin Wu

doi:10.1007/978-3-319-73618-1_38

Effective semantic relationship classification of context-free Chinese words with simple surface and embedding features

Yunxiao Zhou
, Man Lan^*
, Yuanbin Wu

^*Corresponding author for this work

School of Computer Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

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.

Original language	English
Title of host publication	Natural Language Processing and Chinese Computing - 6th CCF International Conference, NLPCC 2017, Proceedings
Editors	Xuanjing Huang, Jing Jiang, Dongyan Zhao, Yansong Feng, Yu Hong
Publisher	Springer Verlag
Pages	456-464
Number of pages	9
ISBN (Print)	9783319736174
DOIs	https://doi.org/10.1007/978-3-319-73618-1_38
State	Published - 2018
Event	6th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2017 - Dalian, China Duration: 8 Nov 2017 → 12 Nov 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10619 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2017
Country/Territory	China
City	Dalian
Period	8/11/17 → 12/11/17

Keywords

Context-free Chinese words
Semantic relation classification
Supervised machine learning
Surface and embedding features

Access to Document

10.1007/978-3-319-73618-1_38

Cite this

Zhou, Y., Lan, M., & Wu, Y. (2018). Effective semantic relationship classification of context-free Chinese words with simple surface and embedding features. In X. Huang, J. Jiang, D. Zhao, Y. Feng, & Y. Hong (Eds.), Natural Language Processing and Chinese Computing - 6th CCF International Conference, NLPCC 2017, Proceedings (pp. 456-464). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10619 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-73618-1_38

Zhou, Yunxiao ; Lan, Man ; Wu, Yuanbin. / Effective semantic relationship classification of context-free Chinese words with simple surface and embedding features. Natural Language Processing and Chinese Computing - 6th CCF International Conference, NLPCC 2017, Proceedings. editor / Xuanjing Huang ; Jing Jiang ; Dongyan Zhao ; Yansong Feng ; Yu Hong. Springer Verlag, 2018. pp. 456-464 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{79363188b2d34a0f9e1fbd7ef7650763,

title = "Effective semantic relationship classification of context-free Chinese words with simple surface and embedding features",

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.",

keywords = "Context-free Chinese words, Semantic relation classification, Supervised machine learning, Surface and embedding features",

author = "Yunxiao Zhou and Man Lan and Yuanbin Wu",

note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG.; 6th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2017 ; Conference date: 08-11-2017 Through 12-11-2017",

year = "2018",

doi = "10.1007/978-3-319-73618-1\_38",

language = "英语",

isbn = "9783319736174",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "456--464",

editor = "Xuanjing Huang and Jing Jiang and Dongyan Zhao and Yansong Feng and Yu Hong",

booktitle = "Natural Language Processing and Chinese Computing - 6th CCF International Conference, NLPCC 2017, Proceedings",

address = "德国",

}

Zhou, Y, Lan, M & Wu, Y 2018, Effective semantic relationship classification of context-free Chinese words with simple surface and embedding features. in X Huang, J Jiang, D Zhao, Y Feng & Y Hong (eds), Natural Language Processing and Chinese Computing - 6th CCF International Conference, NLPCC 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10619 LNAI, Springer Verlag, pp. 456-464, 6th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2017, Dalian, China, 8/11/17. https://doi.org/10.1007/978-3-319-73618-1_38

Effective semantic relationship classification of context-free Chinese words with simple surface and embedding features. / Zhou, Yunxiao; Lan, Man; Wu, Yuanbin.
Natural Language Processing and Chinese Computing - 6th CCF International Conference, NLPCC 2017, Proceedings. ed. / Xuanjing Huang; Jing Jiang; Dongyan Zhao; Yansong Feng; Yu Hong. Springer Verlag, 2018. p. 456-464 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10619 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Effective semantic relationship classification of context-free Chinese words with simple surface and embedding features

AU - Zhou, Yunxiao

AU - Lan, Man

AU - Wu, Yuanbin

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Context-free Chinese words

KW - Semantic relation classification

KW - Supervised machine learning

KW - Surface and embedding features

UR - https://www.scopus.com/pages/publications/85041209327

U2 - 10.1007/978-3-319-73618-1_38

DO - 10.1007/978-3-319-73618-1_38

M3 - 会议稿件

AN - SCOPUS:85041209327

SN - 9783319736174

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 456

EP - 464

BT - Natural Language Processing and Chinese Computing - 6th CCF International Conference, NLPCC 2017, Proceedings

A2 - Huang, Xuanjing

A2 - Jiang, Jing

A2 - Zhao, Dongyan

A2 - Feng, Yansong

A2 - Hong, Yu

PB - Springer Verlag

T2 - 6th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2017

Y2 - 8 November 2017 through 12 November 2017

ER -

Zhou Y, Lan M, Wu Y. Effective semantic relationship classification of context-free Chinese words with simple surface and embedding features. In Huang X, Jiang J, Zhao D, Feng Y, Hong Y, editors, Natural Language Processing and Chinese Computing - 6th CCF International Conference, NLPCC 2017, Proceedings. Springer Verlag. 2018. p. 456-464. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-73618-1_38

Effective semantic relationship classification of context-free Chinese words with simple surface and embedding features

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