Novel Techniques for Text Annotation with Wikipedia Entities

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Novel Techniques for Text Annotation with Wikipedia Entities
Authors
Christos Makris
Michael Angelos Simos
Publication date
2014
DOI
10.1007/978-3-662-44654-6_50
Links
Original

Novel Techniques for Text Annotation with Wikipedia Entities - scientific work related to Wikipedia quality published in 2014, written by Christos Makris and Michael Angelos Simos.

Overview

Text annotation is the procedure of identifying the semantically dominant words of a text segment and attaching them with conceptual content information in their context. In this paper, authors propose novel methods for automatic annotation of text fragments with entities of Wikipedia, the largest knowledge base online, a process commonly known as Wikification aiming at resolving the semantics of synonymous and polysemous terms accurately. The cornerstone of contribution is a novel iterative Wikification approach, converging at optimal annotations while balancing high accuracy with performance. Authors first two methods can be fine-tuned through a machine-learning technique over large homogenous data sets. Authors experimental evaluation resulted in remarkable improvement over state-of-the-art Wikification approaches.

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Wikipedia Quality

Makris, Christos; Simos, Michael Angelos. (2014). "[[Novel Techniques for Text Annotation with Wikipedia Entities]]". Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-662-44654-6_50.

English Wikipedia

{{cite journal |last1=Makris |first1=Christos |last2=Simos |first2=Michael Angelos |title=Novel Techniques for Text Annotation with Wikipedia Entities |date=2014 |doi=10.1007/978-3-662-44654-6_50 |url=https://wikipediaquality.com/wiki/Novel_Techniques_for_Text_Annotation_with_Wikipedia_Entities |journal=Springer, Berlin, Heidelberg}}

HTML

Makris, Christos; Simos, Michael Angelos. (2014). &quot;<a href="https://wikipediaquality.com/wiki/Novel_Techniques_for_Text_Annotation_with_Wikipedia_Entities">Novel Techniques for Text Annotation with Wikipedia Entities</a>&quot;. Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-662-44654-6_50.