@inproceedings{lin1995knowledge,
author = {Lin, Chin-Yew},
title = {Knowledge Based Automated Topic Identification},
organization = {Association for Computational Linguistics},
booktitle = {33rd Annual Meeting of the Association for Computational Linguistics (ACL'95)},
year = {1995},
month = {June},
abstract = {As the first step in an automated text summarization algorithm, this work presents a new method for automatically identifying the central ideas in a text based on a knowledge-based concept counting paradigm. To represent and generalize concepts, we use the hierarchical concept taxonomy WordNet. By setting appropriate cutoff values for such parameters as concept generality and child-to-parent frequency ratio, we control the amount and level of generality of concepts extracted from the text.},
publisher = {Association for Computational Linguistics},
url = {http://approjects.co.za/?big=en-us/research/publication/knowledge-based-automated-topic-identification/},
}