Skip to content

ray075hl/Bi-Model-Intent-And-Slot

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

21 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Bi-Model-Intent-And-Slot

Pytorch implementation of paper "A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling".

We only build the model with decoder.

We do not tune the hyper-parameters carefully as it is so boring. Obtaining best result of intent accuracy is 0.9843 and f1 score of slot filling is 0.9563 when model runs a lot of epoch(need some lucky), but still lower than the claimed result of that paper(0.9899, 0.9689).

--- Intent acc Slot filling F1
paper 0.9899 0.9689
reproduce 0.9843 0.9600

Setup

Pytorch>=0.4.0, python3.

python train.py

Reference

  1. Dataset and codes calculator F1 score from here.

  2. Tricks of dealing with atis dataset from here.

About

Intent Detection and Slot Filling

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages