Automatic learner summary assessment for reading comprehension

Menglin Xia, Ekaterina Kochmar, Ted Briscoe

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

7 Citations (SciVal)


Automating the assessment of learner summaries provides a useful tool for assessing learner reading comprehension. We present a summarization task for evaluating non- native reading comprehension and propose three novel approaches to automatically assess the learner summaries. We evaluate our models on two datasets we created and show that our models outperform traditional approaches that rely on exact word match on this task. Our best model produces quality assessments close to professional examiners.
Original languageEnglish
Title of host publicationProceedings of NAACL-HLT 2019
PublisherAssociation for Computational Linguistics
Number of pages10
Publication statusPublished - 2 Jun 2019
EventProceedings of NAACL-HLT 2019: NAACL-HLT 2019 - Minneapolis, Minneapolis, USA United States
Duration: 2 Jun 20197 Jun 2019


ConferenceProceedings of NAACL-HLT 2019
Abbreviated titleNAACL-HLT 2019
Country/TerritoryUSA United States
Internet address

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