camelop/SLU_focus_and_crf

Python

SLU_focus_and_crf

An implementation for "focus" part of the paper "Encoder-decoder with focus-mechanism for sequence labelling based spoken language understanding".
An implementation of BLSTM-CRF based on [https://github.com/jiesutd/NCRFpp/blob/master/model/crf.py]

Setup

pytorch 0.4.0
python 3.6.x
pip install gpustat [if gpu is used]

Running

./run/run_slot_tagging.sh [set deviceId=-1 if you are going to use cpu for training]
You can get full atis data from https://github.com/yvchen/JointSLU .

Reference

Su Zhu and Kai Yu, "Encoder-decoder with focus-mechanism for sequence labelling based spoken language understanding," in IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), 2017, pp. 5675-5679.