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Quality estimation for text simplification
Štajner, Sanja
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Popović, Maja
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Béchara, Hanna
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URL:
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https://www.researchgate.net/publication/301229460...
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Additional URL:
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http://www.lrec-conf.org/proceedings/lrec2016/work...
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Document Type:
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Conference or workshop publication
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Year of publication:
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2016
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Book title:
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qats2016 : LREC 2016 Workshop & Shared Task on Quality Assessment for Text Simplification (QATS), 28th May 2016, Portorož, Slovenia ; proceedings
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Page range:
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15-21
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Conference title:
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Qats2016
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Location of the conference venue:
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Portorož, Slovenia
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Date of the conference:
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28 May 2016
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Publisher:
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Štajner, Sanja
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Place of publication:
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Paris
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Publishing house:
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ELRA-ERDA
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Publication language:
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English
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Institution:
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School of Business Informatics and Mathematics > Semantic Web (Juniorprofessur) (Ponzetto 2013-15)
School of Business Informatics and Mathematics > Praktische Informatik II (Stuckenschmidt 2009-)
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Subject:
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004 Computer science, internet
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Keywords (English):
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text simplification , quality assessment , sentence classification
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Abstract:
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The quality of the output generated by automatic Text Simplification (TS) systems is traditionally assessed by human annotators. In spite of the fact that the automatisation of that process would enable faster and more consistent evaluation, there have been almost
no studies addressing this problem. We propose several decision-making procedures for automatic classification of the simplified sentences into three classes (bad, OK, good) depending on their grammaticality, meaning preservation, and simplicity. We experiment with ten different classification algorithms and 12 different feature sets on three TS datasets obtained using different text simplification strategies, achieving the results significantly above the state of the art. Additionally, we propose to use an unique measure (Total2 or Total3) for classifying the quality of the automatically simplified sentences into two (discard or keep) or three (bad, OK, good) classes.
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Additional information:
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Online-Ressource
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
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