Explainable Slot Type Attentions to Improve Joint Intent Detection

This notebook is a partial reproduction of some of the results presented in this paper: BERT for Joint Intent Classification and Shot Filling, Qian Chen, Zhu

Explainable Slot Type Attentions to Improve Joint Intent Detection Bi-directional Joint Neural Networks for Intent Classification and Slot Filling Interspeech 2021

This notebook is a partial reproduction of some of the results presented in this paper: BERT for Joint Intent Classification and Shot Filling, Qian Chen, Zhu

bet1000 slot , JOINT SEMANTIC UTTERANCE CLASSIFICATION AND SLOT FILLING WITH RECURSIVE NEURAL NETWORKS Encoder-labeler Deep LSTM, , NA, Leveraging Sentence-level

, JOINT SEMANTIC UTTERANCE CLASSIFICATION AND SLOT FILLING WITH RECURSIVE NEURAL NETWORKS Encoder-labeler Deep LSTM, , NA, Leveraging Sentence-level

bert for joint intent classification and slot filling BERT is used for intent recognition and slot filling because it slot labels into the joint model By transforming intention, slot

• Extended previous work on using BERT for Joint task of Intent Detection and Slot Filling by experimenting on BERT based models • Achieved significant