Erbs, Nicolai ; Zesch, Torsten ; Gurevych, Iryna (2011)
Link Discovery: A Comprehensive Analysis.
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
We present a comprehensive analysis of link discovery approaches. We classify them with regard to the type of knowledge being used, and identify three commonly used sources of knowledge: The text of a document, the document title, and already existing links. We analyze the influence of the knowledge source as well as of the amount of training data used. Results show that the link-based approach performs best if the amount of training data is huge. In a more realistic setting with fewer training data, the text-based approach yields better results.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2011 |
| Autor(en): | Erbs, Nicolai ; Zesch, Torsten ; Gurevych, Iryna |
| Art des Eintrags: | Bibliographie |
| Titel: | Link Discovery: A Comprehensive Analysis |
| Sprache: | Englisch |
| Publikationsjahr: | 2011 |
| Buchtitel: | Proceedings of the 5th IEEE International Conference on Semantic Computing (IEEE-ICSC) |
| URL / URN: | https://ieeexplore.ieee.org/document/6061290/ |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | We present a comprehensive analysis of link discovery approaches. We classify them with regard to the type of knowledge being used, and identify three commonly used sources of knowledge: The text of a document, the document title, and already existing links. We analyze the influence of the knowledge source as well as of the amount of training data used. Results show that the link-based approach performs best if the amount of training data is huge. In a more realistic setting with fewer training data, the text-based approach yields better results. |
| Freie Schlagworte: | UKP_a_NLP4Wikis;UKP_p_WIKULU;Link Discovery, Wiki, Wikipedia, Natural Language Processing |
| ID-Nummer: | TUD-CS-2011-0199 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
| Hinterlegungsdatum: | 31 Dez 2016 14:29 |
| Letzte Änderung: | 24 Jan 2020 12:03 |
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