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.
|Number of pages||6|
|Publication status||Published - 1 Aug 2019|
|Event||Proceedings of the 13th Linguistic Annotation Workshop: LAW XIII, ACL 2019 - Florence, Italy, Florence, Italy|
Duration: 1 Aug 2019 → 1 Aug 2019
|Workshop||Proceedings of the 13th Linguistic Annotation Workshop|
|Abbreviated title||LAW XIII|
|Period||1/08/19 → 1/08/19|