Дата: 17-07-2022, 17:10
Except for the mannequin-specific drawbacks of CSFN-DST, SST and SAS, additionally they share a typical limitation: all of them measure the slot correlations using only the slot names. Therefore, CSFN-DST and SST are usually not scalable. In this part, different approaches for implementing the slot filling pipeline are described, adopted by a more detailed description of two methods which might be most related to our work: the top-ranked system from 2013 (?) since we use their distantly supervised patterns and related options in our help vector machines; and the successful system from 2015 (?) since we evaluate our system on the assessment information from 2015. Finally, we summarize more recent developments in slot filling analysis. On this part, we first present the formal definition of DST after which conduct a easy knowledge analysis to show the excessive correlations among slots in sensible dialogues. In the following part, we'll have a look at methods you will help reduce site visitors congestion.