We are developing corpus-based techniques for identifying semantic relations at an intermediate level of description (more specific than those used in case frames, but more general than those used in traditional knowledge representation systems). In this paper we describe a classification algorithm for identifying relationships between two-word noun compounds. We find that a very simple approach using a machine learning algorithm and a domain-specific lexical hierarchy successfully generalizes from training instances, performing better on previously unseen words than a baseline consisting of training on the words themselves.
Semantic relations between noun compounds with machine learning approach was discussed in paper REF .
Classifying The Semantic Relations In Noun Compounds Via A Domain-Specific Lexical Hierarchy
SIGDAT Conference On Empirical Methods In Natural Language Processing
Computer Science