Papers by Justin DeBenedetto
Part-of-Speech Tagging on an Endangered Language: a Parallel Griko-Italian Resource (C18-1)
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Antonios Anastasopoulos, Marika Lekakou, Josep Quer, Eleni Zimianiti, Justin DeBenedetto, David Chiang
| Challenge: | a recent study examines POS tagging techniques on endangered languages . most natural language processing applications have been tested on only a handful of languages - a problem that is compounded by the lack of standard orthography. |
| Approach: | They evaluate POS tagging techniques on an endangered language, Griko . they use a semi-supervised method with cross-lingual transfer to achieve better accuracy . |
| Outcome: | The proposed method achieves 72.9% accuracy on a sample of 114 narratives in a language . the proposed method improves by 21 percentage points over previous methods . |
Introducing Rhetorical Parallelism Detection: A New Task with Datasets, Metrics, and Baselines (2023.emnlp-main)
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| Challenge: | Parallelism is a common stylistic tool in rhetorical structures, but it is rarely investigated in the field of natural language processing. |
| Approach: | They propose a task of rhetorical parallelism detection to investigate its structure and meaning . they use a Latin and adapted Chinese dataset to define parallelise and define it using a family of metrics . |
| Outcome: | The proposed method achieves F1 scores on Latin and Chinese datasets. |