A General Framework for Distributional Similarity (2003)
by
Julie Weeds
,
David Weir
| Venue: | IN PROCEEDINGS OF THE CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2003 |
| Citations: | 19 - 5 self |
BibTeX
@INPROCEEDINGS{Weeds03ageneral,
author = {Julie Weeds and David Weir},
title = {A General Framework for Distributional Similarity},
booktitle = {IN PROCEEDINGS OF THE CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2003},
year = {2003},
pages = {81--88},
publisher = {}
}
Years of Citing Articles
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
We present a general framework for distributional similarity based on the concepts of precision and recall. Different parameter settings within this framework approximate dierent existing similarity measures as well as many more which have, until now, been unexplored. We show that optimal parameter settings outperform two existing state-of-the-art similarity measures on two evaluation tasks for high and low frequency nouns.
