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Found 6 papers, 2 papers with code
Human Perception in Natural Language Generation
We ask subjects whether they perceive as human-produced a bunch of texts, some of which are actually human-written, while others are automatically generated.
On the interaction of automatic evaluation and task framing in headline style transfer
An ongoing debate in the NLG community concerns the best way to evaluate systems, with human evaluation often being considered the most reliable method, compared to corpus-based metrics.
Norm It! Lexical Normalization for Italian and Its Downstream Effects for Dependency Parsing
However, for Italian, there is no benchmark available for lexical normalization, despite the presence of many benchmarks for other tasks involving social media data.
Invisible to People but not to Machines: Evaluation of Style-aware HeadlineGeneration in Absence of Reliable Human Judgment
We automatically generate headlines that are expected to comply with the specific styles of two different Italian newspapers.
GePpeTto Carves Italian into a Language Model
We provide a thorough analysis of GePpeTto's quality by means of both an automatic and a human-based evaluation.
Is this Sentence Difficult? Do you Agree?
In this paper, we present a crowdsourcing-based approach to model the human perception of sentence complexity.
