Gathering Statistics to Aspectually Classify Sentences with a Genetic Algorithm
cmp-lg
2008-02-03 v1 Computation and Language
Abstract
This paper presents a method for large corpus analysis to semantically classify an entire clause. In particular, we use cooccurrence statistics among similar clauses to determine the aspectual class of an input clause. The process examines linguistic features of clauses that are relevant to aspectual classification. A genetic algorithm determines what combinations of linguistic features to use for this task.
Cite
@article{arxiv.cmp-lg/9610002,
title = {Gathering Statistics to Aspectually Classify Sentences with a Genetic Algorithm},
author = {Eric V. Siegel and Kathleen R. McKeown},
journal= {arXiv preprint arXiv:cmp-lg/9610002},
year = {2008}
}
Comments
postscript, 9 pages, Proceedings of the Second International Conference on New Methods in Language Processing, Oflazer and Somers ed.