A graph-based approach to skill extraction from text

Ilkka Kivimäki, Alexander Panchenko, Adrien Dessy, Dries Verdegem, Pascal Francq, Cédrick Fairon, Hugues Bersini, Marco Saerens

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

27 Citations (SciVal)

Abstract

This paper presents a system that performs skill extraction from text documents. It outputs a list of professional skills that are relevant to a given input text. We argue that the system can be practical for hiring and management of personnel in an organization. We make use of the texts and the hyperlink graph of Wikipedia, as well as a list of professional skills obtained from the LinkedIn social network. The system is based on first computing similarities between an input document and the texts of Wikipedia pages and then using a biased, hub-avoiding version of the Spreading Activation algorithm on the Wikipedia graph in order to associate the input document with skills.

Original languageEnglish
Title of host publicationProceedings of TextGraphs@EMNLP 2013
Subtitle of host publicationThe 8th Workshop on Graph-Based Methods for Natural Language Processing
EditorsZornitsa Kozareva, Irina Matveeva, Gabor Melli, Vivi Nastase
PublisherThe Association for Computer Linguistics
Pages79-87
Number of pages9
ISBN (Electronic)9781937284978
Publication statusPublished - 2020
Externally publishedYes
Event8th Workshop on Graph-Based Methods for Natural Language Processing, TextGraphs 2013, at the Conference on Empirical Methods in Natural Language Processing, EMNLP 2013 - Seattle, United States
Duration: 18 Oct 2013 → …

Publication series

NameProceedings of TextGraphs@EMNLP 2013: The 8th Workshop on Graph-Based Methods for Natural Language Processing

Conference

Conference8th Workshop on Graph-Based Methods for Natural Language Processing, TextGraphs 2013, at the Conference on Empirical Methods in Natural Language Processing, EMNLP 2013
Country/TerritoryUnited States
CitySeattle
Period18/10/13 → …

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