@inproceedings{45cf32fbf74b4547accf9efec2da260f,
title = "Automatically Annotating Structured Web Data Using a SVM-Based Multiclass Classifier",
abstract = "In this paper, we propose a new learning approach to Web data annotation, where a support vector machine-based multiclass classifier is trained to assign labels to data items. For data record extraction, a data section re-segmentation algorithm based on visual and content features is introduced to improve the performance of Web data record extraction. We have implemented the proposed approach and tested it with a large set of Web query result pages in different domains. Our experimental results show that our proposed approach is highly effective and efficient.",
author = "Daiyue Weng and Jun Hong and Bell, {David A.}",
year = "2014",
doi = "10.1007/978-3-319-11749-2_9",
language = "English",
isbn = "9783319117485",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "115 -- 124",
booktitle = "Web Information Systems Engineering - WISE 2014: 15th International Conference, Thessaloniki, Greece, October 12-14, 2014, Proceedings, Part I",
}