Exploring Vector-Space for Automatic Metaphors Detection
Report/hands-on tutorial by Elena Rogleva, Vanessa Schach, Amelie Wührl & Nils Reiter, held during the workshop Finding Metaphor in Discourse. An Intensive Training for Manual and Algorithmic Approaches to Metaphor, November 8-9, 2018, at Basel University.
We will report on a project conducted during Summer 2018. Using an annotated corpus of metaphors and a large corpus of German literary fiction, we explored ways to automatically identify metaphors. The procedure is closely oriented along the lines of the MIP/MIPVU annotation scheme, and uses vector space to learn a distributional dictionary from scratch. To our knowledge, this is the first attempt of automatic metaphor detection for German texts.