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TCDSCSS: Dimensionality Reduction to Evaluate Texts of Varying Lengths - an IR Approach

Arun kumar Jayapal, Martin Emms, John Kelleher
<span title="">2014</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/aa3ggf3tbjarfj2zylzuxxqvdi" style="color: black;">Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)</a> </i> &nbsp;
Crosslevel semantic similarity measures the degree of relatedness between texts of varying lengths such as Paragraph to Sentence and Sentence to Phrase.  ...  We also tried using a bag-of-vectors approach to evaluate the semantic relatedness. This bag-of-vectors approach however did not produced encouraging results.  ...  It was thought this would be of advantage for comparison of texts of varying length.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3115/v1/s14-2109">doi:10.3115/v1/s14-2109</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/semeval/JayapalEK14.html">dblp:conf/semeval/JayapalEK14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5w5dhs54inbh7eqfvgby6dwc7q">fatcat:5w5dhs54inbh7eqfvgby6dwc7q</a> </span>
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