Resources


Database Credentialed Access

MedNLI for Shared Task at ACL BioNLP 2019

Chaitanya Shivade

Data for the MedNLI Shared Task at the 2019 ACL BioNLP 2019 Workshop on Biomedical Language Processing

natural language inference recognizing textual entailment mimic

Published: Nov. 28, 2019. Version: 1.0.1


Database Credentialed Access

MedNLI for Shared Task at ACL BioNLP 2019

Chaitanya Shivade

Data for the MedNLI Shared Task at the 2019 ACL BioNLP 2019 Workshop on Biomedical Language Processing

natural language inference recognizing textual entailment mimic

Published: Nov. 28, 2019. Version: 1.0.1


Database Credentialed Access

RuMedNLI: A Russian Natural Language Inference Dataset For The Clinical Domain

Pavel Blinov, Aleksandr Nesterov, Galina Zubkova, Arina Reshetnikova, Vladimir Kokh, Chaitanya Shivade

RuMedNLI is the full counterpart dataset of MedNLI in Russian language.

natural language inference recognizing textual entailment russian language

Published: April 1, 2022. Version: 1.0.0


Database Credentialed Access

MedNLI - A Natural Language Inference Dataset For The Clinical Domain

Chaitanya Shivade

This is a resource for training machine learning models for language inference in the medical domain.

natural language inference recognizing textual entailment

Published: Oct. 1, 2019. Version: 1.0.0


Database Credentialed Access

RuMedNLI: A Russian Natural Language Inference Dataset For The Clinical Domain

Pavel Blinov, Aleksandr Nesterov, Galina Zubkova, Arina Reshetnikova, Vladimir Kokh, Chaitanya Shivade

RuMedNLI is the full counterpart dataset of MedNLI in Russian language.

natural language inference recognizing textual entailment russian language

Published: April 1, 2022. Version: 1.0.0


Database Credentialed Access

MedNLI - A Natural Language Inference Dataset For The Clinical Domain

Chaitanya Shivade

This is a resource for training machine learning models for language inference in the medical domain.

natural language inference recognizing textual entailment

Published: Oct. 1, 2019. Version: 1.0.0