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  2. Renzo Mauricio Rivera Zavala

Automatic extraction of medication mentions from tweets—overview of the biocreative VII shared task 3 competition

  • Lee más sobre Automatic extraction of medication mentions from tweets—overview of the biocreative VII shared task 3 competition

UC3M-PUCPR at SemEval-2022 Task 11: An Ensemble Method of Transformer-based Models for Complex Named Entity Recognition

  • Lee más sobre UC3M-PUCPR at SemEval-2022 Task 11: An Ensemble Method of Transformer-based Models for Complex Named Entity Recognition

Analyzing transfer learning impact in biomedical cross-lingual named entity recognition and normalization

  • Lee más sobre Analyzing transfer learning impact in biomedical cross-lingual named entity recognition and normalization

Creating Domain Specific Embeddings to Work with Imbalanced Datasets in Automatic Extraction of Medication Names in Tweets

  • Lee más sobre Creating Domain Specific Embeddings to Work with Imbalanced Datasets in Automatic Extraction of Medication Names in Tweets

End-to-end Information Extraction and Management in medical domain with with deep learning and knowledge-based methods

  • Lee más sobre End-to-end Information Extraction and Management in medical domain with with deep learning and knowledge-based methods

The Impact of Pretrained Language Models on Negation and Speculation Detection in Cross-Lingual Medical Text: Comparative Study

  • Lee más sobre The Impact of Pretrained Language Models on Negation and Speculation Detection in Cross-Lingual Medical Text: Comparative Study

Deep Neural Model with Contextualized-word Embeddings for Named Entity Recognition in Spanish Clinical Text

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A two-stage deep learning approach for extracting entities and relationships from medical texts

  • Lee más sobre A two-stage deep learning approach for extracting entities and relationships from medical texts
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Departamento de Informática
Escuela Politécnica Superior Universidad Carlos III de Madrid

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Paloma Martínez Fernández

Belén Ruiz Mezcua

 

 

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