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Found 8 papers, 2 papers with code
Unsupervised Machine Translation in Real-World Scenarios
In this work, we present the work that has been carried on in the MT4All CEF project and the resources that it has generated by leveraging recent research carried out in the field of unsupervised learning.
Ranking Over Scoring: Towards Reliable and Robust Automated Evaluation of LLM-Generated Medical Explanatory Arguments
Evaluating LLM-generated text has become a key challenge, especially in domain-specific contexts like the medical field.
Explanatory Argument Extraction of Correct Answers in Resident Medical Exams
Comprehensive experimentation with language models for Spanish shows that sometimes multilingual models fare better than monolingual ones, even outperforming models which have been adapted to the medical domain.
HiTZ@Antidote: Argumentation-driven Explainable Artificial Intelligence for Digital Medicine
Providing high quality explanations for AI predictions based on machine learning is a challenging and complex task.
IxaMed at PharmacoNER Challenge 2019
In order to identify named entities we have made use of a Bi-LSTM with a CRF on top in combination with different types of word embeddings.
