Hideyuki Tanushi presented the paper “Negation Scope Delimitation in Clinical Text Using Three Approaches: NegEx, PyConTextNLP and SynNeg” at NoDaLiDa 2013, the 19th Nordic Conference on Computational Linguistics, which was held in Oslo this time. Co-authors to the paper by Hideyuki were Hercules Dalianis, Martin Duneld, Maria Kvist, Maria Skeppstedt and Sumithra Velupillai. The paper was presented as a poster and, (as it was one of the best short papers) also with an oral presentation.
Among other interesting papers can be mentioned “Normalisation of Historical Text Using Context-Sensitive Weighted Levenshtein Distance and Compound Splitting” (as these methods are now applied on our clinical texts); Two readability papers: “Statistical Machine Translation with Readability Constraints” and “Features Indicating Readability in Swedish Text”; One paper about terminology extraction “IPhraxtor: A Linguistically Informed System for Extraction of Term Candidates”; and “The Automatic Identification of Discourse Units in Dutch Text”, which presented a rule-based method for identifying discourse units.
Hideyuki at the poster
View from the Opera where the conference dinner was held