4 citations · 9 across the 4 of their papers we have counts for
4 papers
Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature
Katherine Thai, Marzena Karpinska, Kalpesh Krishna +4
Literary translation is a culturally significant task, but it is bottlenecked by the small number of qualified literary translators relative to the many untranslated works publishe…
DEMETR: Diagnosing Evaluation Metrics for Translation
Marzena Karpinska, Nishant Raj, Katherine Thai +3
While machine translation evaluation metrics based on string overlap (e.g., BLEU) have their limitations, their computations are transparent: the BLEU score assigned to a particula…
ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution
Ankita Gupta, Marzena Karpinska, Wenlong Zhao +5
Large-scale, high-quality corpora are critical for advancing research in coreference resolution. However, existing datasets vary in their definition of coreferences and have been c…
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation
Marzena Karpinska, Nader Akoury, Mohit Iyyer
Recent text generation research has increasingly focused on open-ended domains such as story and poetry generation. Because models built for such tasks are difficult to evaluate au…