Text Segmentation by Topic (1997)
| Venue: | In Proceedings of the First European Conference on Research and Advanced Technology for Digital Libraries |
| Citations: | 67 - 2 self |
BibTeX
@INPROCEEDINGS{Ponte97textsegmentation,
author = {Jay M. Ponte and W. Bruce Croft},
title = {Text Segmentation by Topic},
booktitle = {In Proceedings of the First European Conference on Research and Advanced Technology for Digital Libraries},
year = {1997},
pages = {120--129}
}
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Abstract
. We investigate the problem of text segmentation by topic. Applications for this task include topic tracking of broadcast speech data and topic identification in full-text databases. Researchers have tackled similar problems before but with different goals. This study focuses on data with relatively small segment sizes and for which within-segment sentences have relatively few words in common making the problem challenging. We present a method for segmentation which makes use of a query expansion technique to find common features for the topic segments. Experiments with the technique show that it can be effective. 1 Introduction There has recently been increased interest in tracking topics in information "feeds." A feed is a continuous stream of text produced, for example, by speech recognition of broadcast news. The text in such an environment contains no mark-up to indicate topic boundaries and may not even delineate sentences. The text also tends to be terse and words are not repe...
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