@inproceedings{lin1997identifying,
author = {Lin, Chin-Yew and Hovy, Eduard},
title = {Identifying Topics by Position},
organization = {Association for Computational Linguistics},
booktitle = {Fifth Conference on Applied Natural Language Processing},
year = {1997},
month = {March},
abstract = {This paper addresses the problem of identifying likely topics of texts by their position in the text. It describes the automated training and evaluation of an Optimal Position Policy, a method of locating the likely positions of topic-bearing sentences based on genre-specific regularities of discourse structure. This method can be used in applications such as information retrieval, routing, and text summarization.},
publisher = {Association for Computational Linguistics},
url = {http://approjects.co.za/?big=en-us/research/publication/identifying-topics-by-position/},
pages = {283-290},
}