Discovering Links Using Semantic Relatedness (bibtex)
by Johannes Hoffart, Daniel Bär, Torsten Zesch and Iryna Gurevych
Abstract:
We present our approaches for link discovery in document collections with or without existing links. In collections containing links, we discover links using measures of link anchor ranking based on existing links. In collections without links, we gather noun phrases as anchor candidates. To discover targets, we use a measure of semantic relatedness between texts. We nd that semantic relatedness is useful to identify targets for ambiguous link anchors. In collections that contain no existing links, using only document titles as anchor candidates can be enhanced by using arbitrary noun phrases extracted from documents.
Reference:
Discovering Links Using Semantic Relatedness Johannes Hoffart, Daniel Bär, Torsten Zesch and Iryna Gurevych, In INEX 2009 Workshop Preproceedings (Shlomo Geva, Jaap Kamps, Andrew Trotman, eds.), 2009.
Bibtex Entry:
@inproceedings{TUD-CS-2010-0009b,
abstract = {We present our approaches for link discovery in document collections with or without existing links. In collections containing links, we discover links using measures of link anchor ranking based on existing links. In collections without links, we gather noun phrases as anchor candidates. To discover targets, we use a measure of semantic relatedness between texts. We nd that semantic relatedness is useful to identify targets for ambiguous link anchors. In collections that contain no existing links, using only document titles as anchor candidates can be enhanced by using arbitrary noun phrases extracted from documents.},
address = {Brisbane, Australia},
author = {Hoffart, Johannes and B{\"{a}}r, Daniel and Zesch, Torsten and Gurevych, Iryna},
booktitle = {INEX 2009 Workshop Preproceedings},
editor = {Geva, Shlomo and Kamps, Jaap and Trotman, Andrew},
pages = {314--325},
title = {{Discovering Links Using Semantic Relatedness}},
url = {https://www.researchgate.net/profile/Torsten_Zesch/publication/233530325_Discovering_Links_Using_Semantic_Relatedness/links/0f31753072de6b8fdb000000.pdf},
year = {2009}
}