Investigating the Role of Prior Disambiguation in Deep-learning Compositional Models of Meaning

نویسندگان

  • Jianpeng Cheng
  • Dimitri Kartsaklis
  • Edward Grefenstette
چکیده

This paper aims to explore the effect of prior disambiguation on neural networkbased compositional models, with the hope that better semantic representations for text compounds can be produced. We disambiguate the input word vectors before they are fed into a compositional deep net. A series of evaluations shows the positive effect of prior disambiguation for such deep models.

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عنوان ژورنال:
  • CoRR

دوره abs/1411.4116  شماره 

صفحات  -

تاریخ انتشار 2014