TY - GEN
T1 - A learning based model for headline extraction of news articles to find explanatory sentences for events
AU - Debnath, Sandip
AU - Giles, C. Lee
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2005
Y1 - 2005
N2 - Metadata information plays a crucial role in augmenting document organising efficiency and archivability. News metadata includes DateLine, ByLine, HeadLine and many others. We found that HeadLine information is useful for guessing the theme of the news article. Particularly for financial news articles, we found that HeadLine can thus be specially helpful to locate explanatory sentences for any major events such as significant changes in stock prices. In this paper we explore a support vector based learning approach to automatically extract the HeadLine metadata. We find that the classification accuracy of finding the HeadLines improves if DateLines are identified first. We then used the extracted HeadLines to initiate a pattern matching of keywords to find the sentences responsible for story theme. Using this theme and a simple language model it is possible to locate any explanatory sentences for any significant price change.
AB - Metadata information plays a crucial role in augmenting document organising efficiency and archivability. News metadata includes DateLine, ByLine, HeadLine and many others. We found that HeadLine information is useful for guessing the theme of the news article. Particularly for financial news articles, we found that HeadLine can thus be specially helpful to locate explanatory sentences for any major events such as significant changes in stock prices. In this paper we explore a support vector based learning approach to automatically extract the HeadLine metadata. We find that the classification accuracy of finding the HeadLines improves if DateLines are identified first. We then used the extracted HeadLines to initiate a pattern matching of keywords to find the sentences responsible for story theme. Using this theme and a simple language model it is possible to locate any explanatory sentences for any significant price change.
UR - http://www.scopus.com/inward/record.url?scp=77952406146&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77952406146&partnerID=8YFLogxK
U2 - 10.1145/1088622.1088662
DO - 10.1145/1088622.1088662
M3 - Conference contribution
AN - SCOPUS:77952406146
SN - 1595931635
SN - 9781595931634
T3 - Proceedings of the 3rd International Conference on Knowledge Capture, K-CAP'05
SP - 189
EP - 190
BT - Proceedings of the 3rd International Conference on Knowledge Capture, K-CAP'05
T2 - 3rd International Conference on Knowledge Capture, K-CAP'05
Y2 - 2 October 2005 through 5 October 2005
ER -