4 papers
Robust Open-Set Spoken Language Identification and the CU MultiLang Dataset
Mustafa Eyceoz, Justin Lee, Siddharth Pittie +1
Most state-of-the-art spoken language identification models are closed-set; in other words, they can only output a language label from the set of classes they were trained on. Open…
Modernizing Open-Set Speech Language Identification
Mustafa Eyceoz, Justin Lee, Homayoon Beigi
While most modern speech Language Identification methods are closed-set, we want to see if they can be modified and adapted for the open-set problem. When switching to the open-set…
A Neural Pairwise Ranking Model for Readability Assessment
Justin Lee, Sowmya Vajjala
Automatic Readability Assessment (ARA), the task of assigning a reading level to a text, is traditionally treated as a classification problem in NLP research. In this paper, we pro…
Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study
Derek Howard, Marta Maslej, Justin Lee +3
Mental illness affects a significant portion of the worldwide population. Online mental health forums can provide a supportive environment for those afflicted and also generate a l…