106
views
1
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      German in Flux: Detecting Metaphoric Change via Word Entropy

      Preprint

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          This paper explores the information-theoretic measure entropy to detect metaphoric change, transferring ideas from hypernym detection to research on language change. We also build the first diachronic test set for German as a standard for metaphoric change annotation. Our model shows high performance, is unsupervised, language-independent and generalizable to other processes of semantic change.

          Related collections

          Most cited references13

          • Record: found
          • Abstract: not found
          • Article: not found

          MIP: A Method for Identifying Metaphorically Used Words in Discourse

            Bookmark
            • Record: found
            • Abstract: not found
            • Conference Proceedings: not found

            Understanding semantic change of words over centuries

              Bookmark
              • Record: found
              • Abstract: not found
              • Conference Proceedings: not found

              Context-theoretic semantics for natural language

                Bookmark

                Author and article information

                Journal
                2017-06-15
                Article
                1706.04971
                27821b6b-ad28-4549-a0be-d208d0e3ebac

                http://creativecommons.org/licenses/by-sa/4.0/

                History
                Custom metadata
                CoNLL 2017. 9 pages
                cs.CL

                Theoretical computer science
                Theoretical computer science

                Comments

                Comment on this article