Towards a Computational Model of Gradience in Word Sense

نویسندگان

  • Katrin Erk
  • Sebastian Padó
  • Gerhard Schäfer
چکیده

In the construction of lexicons or word sense inventories, researchers have usually strived to de ne a set of disjoint senses for a word; however, there is increasing evidence that this is impossible in the general case. In this programmatic paper, we support this point with sense overlap data from manual sense annotation. We then sketch the road towards a fundamentally graded representation of word sense that is still amenable to integration into a theory of sentence semantics.

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تاریخ انتشار 2006