1 citations · 1 across the 6 of their papers we have counts for
6 papers
Evaluating Parameter Efficient Learning for Generation
Peng Xu, Mostofa Patwary, Shrimai Prabhumoye +6
Parameter efficient learning methods (PERMs) have recently gained significant attention as they provide an efficient way for pre-trained language models (PLMs) to adapt to a downst…
Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation
Virginia Adams, Sandeep Subramanian, Mike Chrzanowski +2
General translation models often still struggle to generate accurate translations in specialized domains. To guide machine translation practitioners and characterize the effectiven…
Automatic Extraction of Medication Names in Tweets as Named Entity Recognition
Carol Anderson, Bo Liu, Anas Abidin +2
Social media posts contain potentially valuable information about medical conditions and health-related behavior. Biocreative VII Task 3 focuses on mining this information by recog…
Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches
Virginia Adams, Hoo-Chang Shin, Carol Anderson +2
The Biocreative VII Track-2 challenge consists of named entity recognition, entity-linking (or entity-normalization), and topic indexing tasks -- with entities and topics limited t…
Text Mining Drug/Chemical-Protein Interactions using an Ensemble of BERT and T5 Based Models
Virginia Adams, Hoo-Chang Shin, Carol Anderson +2
In Track-1 of the BioCreative VII Challenge participants are asked to identify interactions between drugs/chemicals and proteins. In-context named entity annotations for each drug/…
NVIDIA NeMo Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21
Sandeep Subramanian, Oleksii Hrinchuk, Virginia Adams +1
This paper provides an overview of NVIDIA NeMo's neural machine translation systems for the constrained data track of the WMT21 News and Biomedical Shared Translation Tasks. Our ne…