Automatic Hypertext Keyphrase Detection
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1608-1608.
Abstract
This paper describes initial experiments in applying knowledge derived from hypertext structure to domain-specific automatic keyphrase extraction. It is found that hyperlink information can improve the effectiveness of automatic keyphrase extraction by 50%. However, the primary goal of this project is to apply similar techniques to information retrieval tasks such as web searching. These initial results show promise for the applicability of these techniques to more far-reaching tasks.
Daniel Kelleher, and Saturnino Luz. 2005. Automatic Hypertext Keyphrase Detection. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 1608–1608. https://ijcai.org/proceedings/2005/336
Kelleher, D., & Luz, S. (2005). Automatic Hypertext Keyphrase Detection. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 (pp. 1608–1608). IJCAI. https://ijcai.org/proceedings/2005/336
@inproceedings{ijcai2005p336,
title = {Automatic Hypertext Keyphrase Detection},
author = {Kelleher, Daniel and Luz, Saturnino},
booktitle = {Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence, {IJCAI-05}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {1608--1608},
year = {2005},
url = {https://ijcai.org/proceedings/2005/336},
}
TY - CPAPER TI - Automatic Hypertext Keyphrase Detection AU - Kelleher, Daniel AU - Luz, Saturnino T2 - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 PB - International Joint Conferences on Artificial Intelligence PY - 2005 SP - 1608 EP - 1608 UR - https://ijcai.org/proceedings/2005/336 ER -Copied
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