Domain-independent term extraction & term network for scientific publications

Chen, Zheng; Yan, Erjia

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https://hdl.handle.net/2142/96671 Copy

Description

Title

Domain-independent term extraction & term network for scientific publications

Author(s)

• Chen, Zheng
• Yan, Erjia

Issue Date

2017

Keyword(s)

• Term extraction
• Term network
• Domain independent
• Publication analysis

Abstract

Term extraction is an essential tool for content-based publication analysis, and has a long history dating back to 1970s. However, previous methods are either domain-specific, or need complex model training, or relies on external resources like Wikipedia. Recent rise of cross-domain publication content analyses has put forward the demand for simple and efficient domain-independent extraction method. This paper proposes a new rule-based method that adapts C-value method to publication analysis, extends it with two types of frequency lists and sigmoid functions, and develops a prototype term extraction system. Our experiment shows a remarkable reduction of “error” with better or competitive “keyword recall” against C-Value method and a complex term extraction method provided by Translated.net. We then construct a term network by connecting adjacent terms in a paragraph and demonstrate that rich and meaningful analysis can be done on such network through a case study on an HCI abstract corpus.

Series/Report Name or Number

iConference 2017 Proceedings

Type of Resource

text

Language

en

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http://hdl.handle.net/2142/96671

Copyright and License Information

Copyright 2017 Zheng Chen and Erija Yan

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