Paper: Large-Scale Noun Compound Interpretation Using Bootstrapping and the Web as a Corpus

ACL ID D11-1060
Title Large-Scale Noun Compound Interpretation Using Bootstrapping and the Web as a Corpus
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2011
Authors

Responding to the need for semantic lexical resources in natural language processing ap- plications, we examine methods to acquire nouncompounds (NCs), e.g., orange juice, to- gether with suitable fine-grained semantic in- terpretations, e.g., squeezed from, which are directly usable as paraphrases. We employ bootstrapping and web statistics, and utilize the relationship between NCs and paraphras- ing patterns to jointly extract NCs and such patterns in multiple alternating iterations. In evaluation, we found that having one com- pound noun fixed yields both a higher number of semantically interpreted NCs and improved accuracy due to stronger semantic restrictions.