Search Results for author:
Found 10 papers, 7 papers with code
Bidirectional LSTM-CRF for Clinical Concept Extraction
Automated extraction of concepts from patient clinical records is an essential facilitator of clinical research.
Bidirectional LSTM-CRF for Clinical Concept Extraction
Extraction of concepts present in patient clinical records is an essential step in clinical research.
PersoNER: Persian Named-Entity Recognition
Named-Entity Recognition (NER) is still a challenging task for languages with low digital resources.
Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition
Nevertheless, the embeddings need to be retrained over datasets that are adequate for the domain, in order to adequately cover the domain-specific vocabulary.
An Investigation of Recurrent Neural Architectures for Drug Name Recognition
Drug name recognition (DNR) is an essential step in the Pharmacovigilance (PV) pipeline.
A Shared Attention Mechanism for Interpretation of Neural Automatic Post-Editing Systems
Automatic post-editing (APE) systems aim to correct the systematic errors made by machine translators.
ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems
Regularization of neural machine translation is still a significant problem, especially in low-resource settings.
Regressing Word and Sentence Embeddings for Regularization of Neural Machine Translation
This is a serious issue for low-resource language pairs and many specialized translation domains that are inherently limited in the amount of available supervised data.
