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RealText-lex: A Lexicalization Framework for RDF Triples
<span title="2016-10-01">2016</span>
<i title="Walter de Gruyter GmbH">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6dhmhf5usvfurpwkofeqvvaf7i" style="color: black;">Prague Bulletin of Mathematical Linguistics</a>
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This paper presents a framework to lexicalize RDF triples extracted from DBpedia, a central interlinking hub for the emerging Web of Data. ...
One of these developing technologies deals with encoding information from free form natural language into a structured form as RDF triples. ...
Related work
RealText lex framework The schematic representation of the RealText lex is shown in Fig. 1 . ...
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A Multi-strategy Approach for Lexicalizing Linked Open Data
[chapter]
<span title="">2015</span>
<i title="Springer International Publishing">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a>
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit <a rel="external noopener" href="http://www.rivinduperera.com/publications/cicling2015.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
We propose a framework that can generate patterns which can be used to lexicalize Linked Data triples. ...
The results indicated that framework can achieve 70.36% accuracy and a MRR value of 0.72 for five DBpedia ontology classes generating 101 accurate lexicalization patterns. ...
RealText lex framework The triples and related relations extracted in aforementioned process are then used to determine lexicalization patterns. ...
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<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-18117-2_26">doi:10.1007/978-3-319-18117-2_26</a>
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