Owczarzak, K.
, Rankel, P.
, Dang, H.
and Conroy, J.
(2012),
Assessing the Effect of Inconsistent Assessors on Summarization Evaluation, Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Jeju, KR, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=911315
(Accessed December 3, 2024)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Assessing the Effect of Inconsistent Assessors on Summarization Evaluation
Published
Author(s)
, Peter Rankel, , John M. Conroy
Abstract
We investigate the consistency of human assessors involved in summarization evaluation to understand its effect on system ranking and automatic evaluation techniques. Using Text Analysis Conference data, we measure annotator consistency based on human scoring of summaries for Responsiveness, Readability, and Pyramid scoring. We identify inconsistencies in the data and measure to what extent these inconsistencies affect the ranking of automatic summarization systems. Finally, we examine the stability of automatic scoring metrics (ROUGE and CLASSY) with respect to the inconsistent assessments.Proceedings Title
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics
Conference Dates
July 8-14, 2012
Conference Location
Jeju, KR
Pub Type
Conferences
Download Paper
Keywords
Evaluation, Summarization
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created June 7, 2012, Updated October 12, 2021