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Found 8 papers, 1 papers with code
NVIDIA NeMo’s Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21
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.
HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM
To alleviate this problem, we collect HelpSteer, a multi-attribute helpfulness dataset annotated for the various aspects that make responses helpful.
Evaluating Parameter Efficient Learning for Generation
For cross-domain and cross-dataset cases, we show that (a) Adapter (Houlsby et al., 2019) performs the best amongst all the PERMs studied here, and (b) it outperforms finetuning if the task dataset is below a certain size.
Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation
General translation models often still struggle to generate accurate translations in specialized domains.
Automatic Extraction of Medication Names in Tweets as Named Entity Recognition
Social media posts contain potentially valuable information about medical conditions and health-related behavior.
Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches
We extend our BERT-based approach to the entity linking task.
Text Mining Drug/Chemical-Protein Interactions using an Ensemble of BERT and T5 Based Models
In Track-1 of the BioCreative VII Challenge participants are asked to identify interactions between drugs/chemicals and proteins.
NVIDIA NeMo Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21
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.
