Generating Conceptual Metaphors from Proposition Stores
This work addresses a gap in computational linguistics by automating metaphor generation, which could benefit natural language processing applications, though it appears incremental as it builds on existing metaphor processing research.
The paper tackles the problem of generating conceptual metaphors from linguistic data, presenting an automated method that also identifies corresponding linguistic metaphors in corpora, with evaluation conducted on English and Russian datasets.
Contemporary research on computational processing of linguistic metaphors is divided into two main branches: metaphor recognition and metaphor interpretation. We take a different line of research and present an automated method for generating conceptual metaphors from linguistic data. Given the generated conceptual metaphors, we find corresponding linguistic metaphors in corpora. In this paper, we describe our approach and its evaluation using English and Russian data.