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With the daily increase of the amount of published information, research in the area of text analytics is gaining more visibility. Text processing for improving analytics is being studied from different angles. In the literature, text dependencies have been employed to perform various tasks. This includes for example the identification of semantic relations and sentiment analysis. We observe that while text dependencies can boost text analytics, managing and preserving such dependencies in textdoi:10.1145/2740908.2741706 dblp:conf/www/ZablithO15 fatcat:ep7pd7dmsjagtd4waexxcuci6q