Computer Science – Computation and Language
Scientific paper
2009-02-12
Computer Science
Computation and Language
Long paper presented at GEMS - Geometric Models of Natural Language Semantics, workshop held in conjunction with the 12th Conf
Scientific paper
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.
Baroni Marco
Herdagdelen Amac
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