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Discovery of Rare Key Phrases

  • Yanping Chen
  • , Sha Liu
  • , Qinghua Zheng
  • , Ruizhang Huang
  • , Yongbin Qin
  • , Jiwei Qin
  • , Ping Chen
  • Guizhou University
  • Xi'an Jiaotong University
  • Xinjiang University

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

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 languageEnglish
Title of host publicationProceedings - 2018 IEEE 15th International Conference on e-Business Engineering, ICEBE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages127-132
Number of pages6
ISBN (Electronic)9781538679920
DOIs
StatePublished - Dec 27 2018
Event15th International Conference on e-Business Engineering, ICEBE 2018 - Xi'an, China
Duration: Oct 12 2018 → Oct 14 2018

Publication series

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

Conference

Conference15th International Conference on e-Business Engineering, ICEBE 2018
Country/TerritoryChina
CityXi'an
Period10/12/18 → 10/14/18

ASJC Scopus Subject Areas

  • Hardware and Architecture
  • Artificial Intelligence
  • Computer Networks and Communications
  • Business, Management and Accounting (miscellaneous)
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

Keywords

  • Feature Selection
  • Information Extraction
  • Key Phrases

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