Expanding a dictionary of marker words for uncertainty and negation using distributional semantics
2015 (English)In: Empirical Methods in Natural Language Processing, Association for Computational Linguistics , 2015Conference paper (Refereed)
Approaches to determining the factuality of diagnoses and findings in clinical text tend to rely on dictionaries of marker words for uncertainty and negation. Here, a method for semi-automatically expanding a dictionary of marker words using distributional semantics is presented and evaluated. It is shown that ranking candidates for inclusion according to their proximity to cluster centroids of semantically similar seed words is more successful than ranking them according to proximity to each individual seed word.
Place, publisher, year, edition, pages
Association for Computational Linguistics , 2015.
dictionary expansion, distributional semantics
Research subject Computer and Systems Sciences
IdentifiersURN: urn:nbn:se:su:diva-122815ISBN: 978-1-941643-32-7OAI: oai:DiVA.org:su-122815DiVA: diva2:868629