DMCA
Application of the Tightness Continuum Measure to Chinese Information Retrieval
| Citations: | 2 - 0 self |
BibTeX
@MISC{Xu_applicationof,
author = {Ying Xu and Y Goebel and Christoph Ringlstetter and Grzegorz Kondrak},
title = {Application of the Tightness Continuum Measure to Chinese Information Retrieval},
year = {}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Most word segmentation methods employed in Chinese Information Retrieval systems are based on a static dictionary or a model trained against a manually segmented corpus. These general segmentation approaches may not be optimal because they disregard information within semantic units. We propose a novel method for improving word-based Chinese IR, which performs segmentation according to the tightness of phrases. In order to evaluate the effectiveness of our method, we employ a new test collection of 203 queries, which include a broad distribution of phrases with different tightness values. The results of our experiments indicate that our method improves IR performance as compared with a general word segmentation approach. The experiments also demonstrate the need for the development of better evaluation corpora. 1
Keyphrases
tightness continuum measure chinese information retrieval new test collection static dictionary general segmentation approach broad distribution word-based chinese ir semantic unit chinese information retrieval system general word segmentation approach novel method evaluation corpus word segmentation method different tightness value ir performance
