Медициналық корпус

We propose a novel method to learn negation expressions in a specialized (medical) domain. In our corpus, negations are annotated as ‘flat’ text spans. This allows for some infelicities in …...

AbstractThis paper describes a simple but competitive unsupervised system for hypernym discovery. The system uses skip-gram word embeddings with negative sampling, trained on specialised corpora. Candidate hypernyms for an input …...

AbstractBERT models used in specialized domains all seem to be the result of a simple strategy: initializing with the original BERT and then resuming pre-training on a specialized corpus. This …...