Annotating a Russian corpus of conceptual metaphor: a bottom-up approach

P. 77–86.

Badryzlova Y., Shekhtman N., Isaeva Y., Kerimov R.

This work presents the tentative version of the protocol designed for annotation of a Russian metaphor corpus using the rapid annotation tool BRAT. The first part of the article is devoted to the procedure of "shallow" annotation in which metaphor-related words are identified according to a slightly modified version of the MIPVU procedure. The paper presents the results of two reliability tests and the measures of inter-annotator agreement obtained in them. Further on, the article gives a brief account of the linguistic problems that were encountered in adapting MIPVU to Russian. The rest of the first part describes the classes of metaphor-related words and the rules of their annotation with BRAT. The examples of annotation show how the visualization functionalities of BRAT allow the researcher to describe the multifaceted nature of metaphor related words and the complexity of their relations. The second part of the paper speaks about the annotation of conceptual metaphors (the "deep" annotation), where formulations of conceptual metaphors are inferred from the basic and contextual meanings of metaphor-related words from the "shallow" annotation, which is expected to make the metaphor formulation process more controllable.

Keywords: corpus of conceptual metaphor, MIPVU, BRAT annotation tool, levels of annotation, metaphor-related word

In book

Proceedings of the First Workshop on Metaphor in NLP, Atlanta, Georgia, 13 June 2013

Atlanta: Association for Computational Linguistics, 2013.