Department of Computer Engineering2024-11-102007N/A2-s2.0-84879950518N/Ahttps://hdl.handle.net/20.500.14288/16669The NLP community has shown a renewed interest in deeper semantic analyses, among them automatic recognition of relations between pairs of words in a text. We present an evaluation task designed to provide a framework for comparing different approaches to classifying semantic relations between nominals in a sentence. This is part of SemEval, the 4th edition of the semantic evaluation event previously known as SensEval. We define the task, describe the training/test data and their creation, list the participating systems and discuss their results. There were 14 teams who submitted 15 systems.Computer engineeringConference proceedinghttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84879950518andpartnerID=40andmd5=0eedb20403a05d3e7c37dd9a1ba9043fN/A9827