An Unsupervised Query Rewriting Approach Using N-gram Co-occurrence Statistics to Find Similar Phrases in Large Text Corpora

no code implementations • WS (NoDaLiDa) 2019 • Hans Moen, Laura-Maria Peltonen, Henry Suhonen, Hanna-Maria Matinolli, Riitta Mieronkoski, Kirsi Telen, Kirsi Terho, Tapio Salakoski, Sanna Salanterä

We present our work towards developing a system that should find, in a large text corpus, contiguous phrases expressing similar meaning as a query phrase of arbitrary length.

Language Modelling

Evaluation of a Prototype System that Automatically Assigns Subject Headings to Nursing Narratives Using Recurrent Neural Network

no code implementations • WS 2018 • Hans Moen, Kai Hakala, Laura-Maria Peltonen, Henry Suhonen, Petri Loukasm{\"a}ki, Tapio Salakoski, Filip Ginter, Sanna Salanter{\"a}

Our aim is to allow nurses to write in a narrative manner without having to plan and structure the text with respect to sections and subject headings, instead the system should assist with the assignment of subject headings and restructuring afterwards.

Sentence text-classification +1