2009/02/12 by Amaç Herdağdelen, Marco Baroni, Herdağdelen, Amaç +1
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7 #I.5.4 #Information Retrieval (cs.IR) #cs.CL #cs.IR
paper · pdf · doi:10.48550/arxiv.0902.2230
Long paper presented at GEMS - Geometric Models of Natural Language Semantics, workshop held in conjunction with the 12th Conference of the European Chapter of the Association for Computational Linguistics (EACL-09), Athens, Greece
arxiv created 2009/02/12 · arxiv updated 2009/12/01
We introduce a way to represent word pairs instantiating arbitrary semantic relations that keeps track of the contexts in which the words in the pair occur both together and independently. The resulting features are of sufficient generality to allow us, with the help of a standard supervised machine learning algorithm, to tackle a variety of unrelated semantic tasks with good results and almost no task-specific tailoring.