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SemEval-2012 Task 2 : measuring degrees of relational similarity
Author(s):
Affiliation:
Information and Communication Technologies; National Research Council Canada; Information and Communication Technologies
Language:
English
Type:
Conference publication
Conference:
SEM 2012 : The First Joint Conference on Lexical and Computational Semantics, 7-8 June 2012, Montreal, Quebec, Canada
Proceedings
Title:
The First Joint Conference on Lexical and Computational Semantics. Volume 2: Proceedings of the 6th International Workshop on Semantic Evaluation (SemEval 2012), pages 356–364
Date:
2012
NPArC #:
20494937
Program(s):
Interactive Information; Information interactive
Group(s):
Interactive Information; Information interactive
Abstract:
Up to now, work on semantic relations has focused on relation classification: recognizing whether a given instance (a word pair such as virus:flu) belongs to a specific relation class (such as CAUSE:EFFECT). However, instances
of a single relation class may still have significant variability in how characteristic they are of that class. We present a new SemEval task
based on identifying the degree of prototypicality for instances within a given class. As a part of the task, we have assembled the first dataset of graded relational similarity ratings
across 79 relation categories. Three teams submitted six systems, which were evaluated using two methods.
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