@inproceedings{786c67aa10434b1f9b1c41d6f2d95cdf,
title = "Toward generic title generation for clustered documents",
abstract = "A cluster labeling algorithm for creating generic titles based on external resources such as WordNet is proposed. Our method first extracts category-specific terms as cluster descriptors. These descriptors are then mapped to generic terms based on a hypernym search algorithm. The proposed method has been evaluated on a patent document collection and a subset of the Reuters-21578 collection. Experimental results revealed that our method performs as anticipated. Real-case applications of these generic terms show promising in assisting humans in interpreting the clustered topics. Our method is general enough such that it can be easily extended to use other hierarchical resources for adaptable label generation.",
keywords = "Correlation coefficient, Hypernym search, WordNet",
author = "Tseng, {Yuen Hsien} and Lin, {Chi Jen} and Chen, {Hsiu Han} and Lin, {Yu I.}",
year = "2006",
doi = "10.1007/11880592_12",
language = "English",
isbn = "3540457801",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "145--157",
booktitle = "Information Retrieval Technology - Third Asia Information Retrieval Symposium, AIRS 2006, Proceedings",
note = "3rd Asia Information Retrieval Symposium, AIRS 2006 ; Conference date: 16-10-2006 Through 18-10-2006",
}