camelop / SLU_focus_and_crf

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.