DocumentCode
2220336
Title
Giving temporal order to news corpus
Author
Uejima, Hiroshi ; Miura, Takao ; Shioya, Isamu
Author_Institution
Dept. of Electr. & Electron. Eng., Hosei Univ., Tokyo, Japan
fYear
2004
fDate
15-17 Nov. 2004
Firstpage
208
Lastpage
215
Abstract
We propose a new mechanism to give temporal order to a news article in a form of times-tamps. Here we learn temporal data in advance to extract ordering by means of incremental clustering and then we estimate most likely order to news text. In this work, we examine TDT2 corpus and we show how well our approach works by some experiments.
Keywords
computational linguistics; text analysis; TDT2 corpus; incremental clustering; stream data; temporal order; timestamp estimation; Data mining; Event detection; Informatics; Internet; Machine learning; Streaming media; Supervised learning; Training data; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2004. ICTAI 2004. 16th IEEE International Conference on
ISSN
1082-3409
Print_ISBN
0-7695-2236-X
Type
conf
DOI
10.1109/ICTAI.2004.65
Filename
1374189
Link To Document