Papers with language tests

1 papers
Improving Crowdsourcing-Based Annotation of Japanese Discourse Relations (L18-1)

Copied to clipboard

Challenge: Discourse parsing is an important task in natural language processing, but few languages have corpora annotated with discourse relations . crowdsourcing-based annotations are of poor quality and require expensive and time-consuming . et al. (2009) evaluated the quality of annotations using expert annotations.
Approach: They construct a Japanese corpus with discourse annotations through crowdsourcing . they propose improvement techniques based on language tests .
Outcome: The proposed methods improve the quality of the annotations, and will make them publicly available.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations