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
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;
Conference_Titel :
Tools with Artificial Intelligence, 2004. ICTAI 2004. 16th IEEE International Conference on
Print_ISBN :
0-7695-2236-X
DOI :
10.1109/ICTAI.2004.65
