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We present a submission to the CogALex 2016 shared task on the corpus-basedidentification of semantic relations, using LexNET (Shwartz and Dagan, 2016),an integrated path-based and distributional method for semantic relationclassification. The reported results in the shared task bring this submissionto the third place on subtask 1 (word relatedness), and the first place onsubtask 2 (semantic relation classification), demonstrating the utility ofintegrating the complementary path-based and distributional information sourcesin recognizing concrete semantic relations. Combined with a common similaritymeasure, LexNET performs fairly good on the word relatedness task (subtask 1).The relatively low performance of LexNET and all other systems on subtask 2,however, confirms the difficulty of the semantic relation classification task,and stresses the need to develop additional methods for this task.

CogALex-V Shared Task: LexNET - Integrated Path-based and Distributional Method for the Identification of Semantic Relations