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Towards Building a Standard Dataset for Arabic Keyphrase Extraction Evaluation

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Citation Author(s):
Marco Basaldella, Eddy Maddalena, Stefano Mizzaro, Gianluca Demartini
Submitted by:
Muhammad Helmy
Last updated:
30 November 2016 - 4:11am
Document Type:
Presentation Slides
Document Year:
2016
Event:
Presenters Name:
Muhammad Helmy
Paper Code:
102

Abstract 

Abstract: 

Keyphrases are short phrases that best represent a document content. They can be useful in a variety of applications, including document summarization and retrieval models. In this paper, we introduce the first dataset of keyphrases for an Arabic document collection, obtained by means of crowdsourcing. We experimentally evaluate different crowdsourced answer aggregation strategies and validate their performances against expert annotations to evaluate the quality of our dataset. We report about our experimental results, the dataset features, some lessons learned, and ideas for future
work.

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Towards Building a Standard Dataset for Arabic Keyphrase Extraction Evaluation

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