Paper: Metaphor Identification Using Verb and Noun Clustering

ACL ID C10-1113
Title Metaphor Identification Using Verb and Noun Clustering
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010
Authors

We present a novel approach to auto- matic metaphor identification in unre- stricted text. Starting from a small seed set of manually annotated metaphorical ex- pressions, the system is capable of har- vesting a large number of metaphors of similar syntactic structure from a corpus. Our method is distinguished from previ- ous work in that it does not employ any hand-crafted knowledge, other than the initial seed set, but, in contrast, captures metaphoricity by means of verb and noun clustering. Being the first to employ un- supervised methods for metaphor identifi- cation, our system operates with the pre- cision of 0.79.