Discovery of Rare Key Phrases

Yanping Chen; Sha Liu; Qinghua Zheng; Ruizhang Huang; Yongbin Qin; Jiwei Qin; Ping Chen

doi:10.1109/ICEBE.2018.00028

Discovery of Rare Key Phrases

Yanping Chen
, Sha Liu
, Qinghua Zheng
, Ruizhang Huang
, Yongbin Qin
, Jiwei Qin
, Ping Chen

Faculty of Electronic and Information Engineering

Guizhou University
Xinjiang University
University of Massachusetts Boston

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

Abstract

The frequency of phrases is important to discover key phrases. A high occurrence gives more contexts to assess them while many meaningful rare phrases are ignored. In this paper, we address the problem by exploring the semantic structure of rare phrases. An unsupervised method is presented to discover key phrases that occurs even only one time in a corpus. Comparing with related methods, the experiment shows an effective result. Moreover, a relation extraction task is conducted to evaluate the utilization of rare phrases for supporting NLP applications.

Original language	English
Title of host publication	Proceedings - 2018 IEEE 15th International Conference on e-Business Engineering, ICEBE 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	127-132
Number of pages	6
ISBN (Electronic)	9781538679920
DOIs	https://doi.org/10.1109/ICEBE.2018.00028
State	Published - 27 Dec 2018
Event	15th International Conference on e-Business Engineering, ICEBE 2018 - Xi'an, China Duration: 12 Oct 2018 → 14 Oct 2018

Publication series

Name	Proceedings - 2018 IEEE 15th International Conference on e-Business Engineering, ICEBE 2018

Conference

Conference	15th International Conference on e-Business Engineering, ICEBE 2018
Country/Territory	China
City	Xi'an
Period	12/10/18 → 14/10/18

Keywords

Feature Selection
Information Extraction
Key Phrases

Access to Document

10.1109/ICEBE.2018.00028

Cite this

Chen, Y., Liu, S., Zheng, Q., Huang, R., Qin, Y., Qin, J., & Chen, P. (2018). Discovery of Rare Key Phrases. In Proceedings - 2018 IEEE 15th International Conference on e-Business Engineering, ICEBE 2018 (pp. 127-132). Article 8592639 (Proceedings - 2018 IEEE 15th International Conference on e-Business Engineering, ICEBE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEBE.2018.00028

@inproceedings{f529bad7ee5f4d419f74eb6a03e0dd4c,

title = "Discovery of Rare Key Phrases",

abstract = "The frequency of phrases is important to discover key phrases. A high occurrence gives more contexts to assess them while many meaningful rare phrases are ignored. In this paper, we address the problem by exploring the semantic structure of rare phrases. An unsupervised method is presented to discover key phrases that occurs even only one time in a corpus. Comparing with related methods, the experiment shows an effective result. Moreover, a relation extraction task is conducted to evaluate the utilization of rare phrases for supporting NLP applications.",

keywords = "Feature Selection, Information Extraction, Key Phrases",

author = "Yanping Chen and Sha Liu and Qinghua Zheng and Ruizhang Huang and Yongbin Qin and Jiwei Qin and Ping Chen",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 15th International Conference on e-Business Engineering, ICEBE 2018 ; Conference date: 12-10-2018 Through 14-10-2018",

year = "2018",

month = dec,

day = "27",

doi = "10.1109/ICEBE.2018.00028",

language = "英语",

series = "Proceedings - 2018 IEEE 15th International Conference on e-Business Engineering, ICEBE 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "127--132",

booktitle = "Proceedings - 2018 IEEE 15th International Conference on e-Business Engineering, ICEBE 2018",

}

Chen, Y, Liu, S, Zheng, Q, Huang, R, Qin, Y, Qin, J & Chen, P 2018, Discovery of Rare Key Phrases. in Proceedings - 2018 IEEE 15th International Conference on e-Business Engineering, ICEBE 2018., 8592639, Proceedings - 2018 IEEE 15th International Conference on e-Business Engineering, ICEBE 2018, Institute of Electrical and Electronics Engineers Inc., pp. 127-132, 15th International Conference on e-Business Engineering, ICEBE 2018, Xi'an, China, 12/10/18. https://doi.org/10.1109/ICEBE.2018.00028

Discovery of Rare Key Phrases. / Chen, Yanping; Liu, Sha; Zheng, Qinghua et al.
Proceedings - 2018 IEEE 15th International Conference on e-Business Engineering, ICEBE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 127-132 8592639 (Proceedings - 2018 IEEE 15th International Conference on e-Business Engineering, ICEBE 2018).

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

TY - GEN

T1 - Discovery of Rare Key Phrases

AU - Chen, Yanping

AU - Liu, Sha

AU - Zheng, Qinghua

AU - Huang, Ruizhang

AU - Qin, Yongbin

AU - Qin, Jiwei

AU - Chen, Ping

PY - 2018/12/27

Y1 - 2018/12/27

N2 - The frequency of phrases is important to discover key phrases. A high occurrence gives more contexts to assess them while many meaningful rare phrases are ignored. In this paper, we address the problem by exploring the semantic structure of rare phrases. An unsupervised method is presented to discover key phrases that occurs even only one time in a corpus. Comparing with related methods, the experiment shows an effective result. Moreover, a relation extraction task is conducted to evaluate the utilization of rare phrases for supporting NLP applications.

AB - The frequency of phrases is important to discover key phrases. A high occurrence gives more contexts to assess them while many meaningful rare phrases are ignored. In this paper, we address the problem by exploring the semantic structure of rare phrases. An unsupervised method is presented to discover key phrases that occurs even only one time in a corpus. Comparing with related methods, the experiment shows an effective result. Moreover, a relation extraction task is conducted to evaluate the utilization of rare phrases for supporting NLP applications.

KW - Feature Selection

KW - Information Extraction

KW - Key Phrases

UR - https://www.scopus.com/pages/publications/85061488591

U2 - 10.1109/ICEBE.2018.00028

DO - 10.1109/ICEBE.2018.00028

M3 - 会议稿件

AN - SCOPUS:85061488591

T3 - Proceedings - 2018 IEEE 15th International Conference on e-Business Engineering, ICEBE 2018

SP - 127

EP - 132

BT - Proceedings - 2018 IEEE 15th International Conference on e-Business Engineering, ICEBE 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th International Conference on e-Business Engineering, ICEBE 2018

Y2 - 12 October 2018 through 14 October 2018

ER -

Chen Y, Liu S, Zheng Q, Huang R, Qin Y, Qin J et al. Discovery of Rare Key Phrases. In Proceedings - 2018 IEEE 15th International Conference on e-Business Engineering, ICEBE 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 127-132. 8592639. (Proceedings - 2018 IEEE 15th International Conference on e-Business Engineering, ICEBE 2018). doi: 10.1109/ICEBE.2018.00028

Discovery of Rare Key Phrases

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this