Inducing a Semantically Annotated Lexicon via EM-Based Clustering
Computation and Language
2007-05-23 v1 Artificial Intelligence
Machine Learning
Abstract
We present a technique for automatic induction of slot annotations for subcategorization frames, based on induction of hidden classes in the EM framework of statistical estimation. The models are empirically evalutated by a general decision test. Induction of slot labeling for subcategorization frames is accomplished by a further application of EM, and applied experimentally on frame observations derived from parsing large corpora. We outline an interpretation of the learned representations as theoretical-linguistic decompositional lexical entries.
Keywords
Cite
@article{arxiv.cs/9905008,
title = {Inducing a Semantically Annotated Lexicon via EM-Based Clustering},
author = {Mats Rooth and Stefan Riezler and Detlef Prescher and Glenn Carroll and Franz Beil},
journal= {arXiv preprint arXiv:cs/9905008},
year = {2007}
}
Comments
8 pages, uses colacl.sty. Proceedings of the 37th Annual Meeting of the ACL, 1999