@inbook{6df9e54876e844a5bb08a0b77a36faa3,
title = "Unsupervised event extraction from biomedical text based on event and pattern information",
abstract = "In this paper, we proposed a new event extraction method from biomedical texts. It can extend patterns by unsupervised way based on event and pattern information. Evaluation of our system on GENIA corpus achieves 90.1% precision and 70.0% recall.",
author = "Chun, {Hong Woo} and Hwang, {Young Sook} and Rim, {Hae Chang}",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",
year = "2004",
doi = "10.1007/978-3-540-24630-5_66",
language = "English",
isbn = "3540210067",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "533--536",
editor = "Alexander Gelbukh",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}