Comparative judgments are more consistent than binary classification for labelling word complexity

Sian Gooding, Ekaterina Kochmar, Alan Blackwell, Advait Sarkar

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

Lexical simplification systems replace complex words with simple ones based on a model of which words are complex in context. We explore how users can help train complex word identification models through labelling more efficiently and reliably. We show that using an interface where annotators make comparative rather than binary judgments leads to more reliable and consistent labels, and explore whether comparative judgments may provide a faster way for collecting labels.
Original languageEnglish
Pages208–214
Number of pages6
Publication statusPublished - 1 Aug 2019
EventProceedings of the 13th Linguistic Annotation Workshop: LAW XIII, ACL 2019 - Florence, Italy, Florence, Italy
Duration: 1 Aug 20191 Aug 2019
https://sigann.github.io/LAW-XIII-2019/

Workshop

WorkshopProceedings of the 13th Linguistic Annotation Workshop
Abbreviated titleLAW XIII
CountryItaly
CityFlorence
Period1/08/191/08/19
Internet address

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