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What Is This, Anyway: Automatic Hypernym Discovery Alan Ritter and Stephen Soderland and Oren Etzioni
 

Summary: What Is This, Anyway: Automatic Hypernym Discovery
Alan Ritter and Stephen Soderland and Oren Etzioni
Turing Center
Department of Computer Science and Engineering
University of Washington
Box 352350
Seattle, WA 98195, USA
{aritter,soderlan,etzioni}@cs.washington.edu
Abstract
Can a system that "learns from reading" figure out on it's
own the semantic classes of arbitrary noun phrases? This is
essential for text understanding, given the limited coverage
of proper nouns in lexical resources such as WordNet. Previ-
ous methods that use lexical patterns to discover hypernyms
suffer from limited precision and recall.
We present methods based on lexical patterns that find hy-
pernyms of arbitrary noun phrases with high precision. This
more than doubles the recall of proper noun hypernyms
provided by WordNet at a modest cost to precision. We
also present a novel method using a Hidden Markov Model

  

Source: Anderson, Richard - Department of Computer Science and Engineering, University of Washington at Seattle

 

Collections: Computer Technologies and Information Sciences