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Complex interactions among the meanings of words are important factors in the function that maps word meanings to phrase meanings. Recently, compositional distributional semantics models (CDSM) have been designed with the goal of emulating these complex interactions; however, experimental results on the effectiveness of CDSM have been difficult to interpret because the current metrics for assessing them do not control for the confound of lexical information. We present a new method fordoi:10.18653/v1/s15-1023 dblp:conf/starsem/RitterLPBBG15 fatcat:g3sfbbzawzfalosec6otrkraim