
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
We present a method for automatic extract the hyponym-hypernym relations from the text data. In previous years many researchers were worked on this system but they use some pre-encoded knowledge and patterns for implementing this type of system. But this not that much use when we think about extracting more relations or discovering any new pattern. This type of system discovered one more risk which is once we use the predefined pattern and if this pattern failed to produce new pattern then all most all operation will fail due to the previous wrong pattern. https://journalnx.com/journal-article/20150504
Machine Learning, Dependency parser, Regex Pattern, Hyponym Relation, Information Extraction
Machine Learning, Dependency parser, Regex Pattern, Hyponym Relation, Information Extraction
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
views | 2 | |
downloads | 2 |