15 citations · 17 across the 3 of their papers we have counts for
4 papers · 1 filter
Data Augmentation using Pre-trained Transformer Models
Varun Kumar, Ashutosh Choudhary, Eunah Cho
Language model based pre-trained models such as BERT have provided significant gains across different NLP tasks. In this paper, we study different types of transformer based pre-tr…
Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity
Eunah Cho, He Xie, John P. Lalor +2
Expanding new functionalities efficiently is an ongoing challenge for single-turn task-oriented dialogue systems. In this work, we explore functionality-specific semi-supervised le…
Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning
Jan Niehues, Eunah Cho
Linguistic resources such as part-of-speech (POS) tags have been extensively used in statistical machine translation (SMT) frameworks and have yielded better performances. However,…
Analyzing Neural MT Search and Model Performance
Jan Niehues, Eunah Cho, Thanh-Le Ha +1
In this paper, we offer an in-depth analysis about the modeling and search performance. We address the question if a more complex search algorithm is necessary. Furthermore, we inv…