One can thus use mapping Φ all,1,⊕ in lieu of Φ all,1,⊕ : It should be clear that Φ all,1,⊕ provides a normalized version of Φ all,1,⊕ as this latter mapping amounts to weighted versions of the former: Through the comparative framework described in section 3, our objective is to assess the usefulness of different vectorial representations for pairs of discourse segments.
an important appeal of these representations is that they are much less time-consuming to train than the ones based on neural language models while allowing similar performance (Lebret and Collobert, 2014).