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cs.CL2021★ 2 cited
Under the Microscope: Interpreting Readability Assessment Models for Filipino
Joseph Marvin Imperial, Ethel Ong
Readability assessment is the process of identifying the level of ease or difficulty of a certain piece of text for its intended audience. Approaches have evolved from the use of a…
cs.CL2020★ 32 cited
Establishing Baselines for Text Classification in Low-Resource Languages
Jan Christian Blaise Cruz, Charibeth Cheng
While transformer-based finetuning techniques have proven effective in tasks that involve low-resource, low-data environments, a lack of properly established baselines and benchmar…
cs.CL2019★ 32 cited
Evaluating Language Model Finetuning Techniques for Low-resource Languages
Jan Christian Blaise Cruz, Charibeth Cheng
Unlike mainstream languages (such as English and French), low-resource languages often suffer from a lack of expert-annotated corpora and benchmark resources that make it hard to a…