Large-Scale Noun Compound Interpretation Using Bootstrapping and the Web as a Corpus
November 27, 2019 ยท Declared Dead ยท ๐ Conference on Empirical Methods in Natural Language Processing
"No code URL or promise found in abstract"
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Authors
Su Nam Kim, Preslav Nakov
arXiv ID
1911.12085
Category
cs.CL: Computation & Language
Cross-listed
cs.AI,
cs.IR
Citations
40
Venue
Conference on Empirical Methods in Natural Language Processing
Last Checked
4 months ago
Abstract
Responding to the need for semantic lexical resources in natural language processing applications, we examine methods to acquire noun compounds (NCs), e.g., "orange juice", together with suitable fine-grained semantic interpretations, e.g., "squeezed from", which are directly usable as paraphrases. We employ bootstrapping and web statistics, and utilize the relationship between NCs and paraphrasing patterns to jointly extract NCs and such patterns in multiple alternating iterations. In evaluation, we found that having one compound noun fixed yields both a higher number of semantically interpreted NCs and improved accuracy due to stronger semantic restrictions.
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