@inproceedings{a19160cbe97f40ddaef2d9e6bbac9ea0,
title = "Towards focused knowledge extraction: Query-based extraction of structured summaries",
abstract = "A large part of Web resources consists of unstructured textual content. Processing and retrieving relevant content for a particular information need is challenging for both ma- chines as well as humans. While information retrieval tech- niques provide methods for detecting suitable resources for a particular query, information extraction (IE) techniques enable the extraction of structured data [2, 3] and text sum- marization allows the detection of important sentences [1, 5]. However, neither IE nor summarization techniques do consider user interests when generating text summaries au- tomatically.",
keywords = "Entity recognition, Pos patterns, Text summarization",
author = "Besnik Fetahu and Nunes, {Bernardo Pereira} and Stefan Dietze",
year = "2013",
language = "English",
isbn = "9781450320382",
series = "WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web",
publisher = "Association for Computing Machinery",
pages = "77--78",
booktitle = "WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web",
note = "WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web ; Conference date: 13-05-2013 Through 17-05-2013",
}