Papers with cross-and

1 papers
Application and Analysis of a Multi-layered Scheme for Irony on the Italian Twitter Corpus TWITTIRÒ (L18-1)

Copied to clipboard

Challenge: Using a multi-layered scheme for the fine-grained annotation of irony on Italian Twitter is a challenging task to be performed by both human annotators and automatic NLP systems.
Approach: They propose to apply a multi-layered scheme for the fine-grained annotation of irony to an Italian Twitter corpus.
Outcome: The proposed scheme can be validated on Italian irony-laden social media contents and is available in the cross- and multi-lingual perspective.

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