@inproceedings{4938e60a422046a4adb6fd8b50bef316,
title = "Annotating text segments using a web-based categorization approach",
abstract = "Conventional automatic text annotation tools mostly extract named entities from texts and annotate them with information about persons, locations, and dates, etc. Such kind of entity type information, however, is insufficient for machines to understand the context or facts contained in the texts. This paper presents a general text categorization approach to categorize text segments into broader subject categories, such as categorizing a text string into a category of paper title in Mathematics or a category of conference name in Computer Science. Experimental results confirm its wide applicability to various digital library applications.",
author = "Chiao, \{Hsin Chen\} and Pu, \{Hsiao Tieh\} and Chien, \{Lee Feng\}",
year = "2005",
doi = "10.1007/11599517\_37",
language = "English",
isbn = "3540308504",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "323--331",
booktitle = "Digital Libraries",
note = "8th International Conference on Asian Digital Libraries, ICADL 2005 ; Conference date: 12-12-2005 Through 15-12-2005",
}